social media effect on mental health essay

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Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice

John a. naslund.

a Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA

Ameya Bondre

b CareNX Innovations, Mumbai, India

John Torous

c Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA

Kelly A. Aschbrenner

d Department of Psychiatry, Geisel School of Medicine at Dartmouth, Lebanon, NH

Social media platforms are popular venues for sharing personal experiences, seeking information, and offering peer-to-peer support among individuals living with mental illness. With significant shortfalls in the availability, quality, and reach of evidence-based mental health services across the United States and globally, social media platforms may afford new opportunities to bridge this gap. However, caution is warranted, as numerous studies highlight risks of social media use for mental health. In this commentary, we consider the role of social media as a potentially viable intervention platform for offering support to persons with mental disorders, promoting engagement and retention in care, and enhancing existing mental health services. Specifically, we summarize current research on the use of social media among mental health service users, and early efforts using social media for the delivery of evidence-based programs. We also review the risks, potential harms, and necessary safety precautions with using social media for mental health. To conclude, we explore opportunities using data science and machine learning, for example by leveraging social media for detecting mental disorders and developing predictive models aimed at characterizing the aetiology and progression of mental disorders. These various efforts using social media, as summarized in this commentary, hold promise for improving the lives of individuals living with mental disorders.

Introduction

Social media has become a prominent fixture in the lives of many individuals facing the challenges of mental illness. Social media refers broadly to web and mobile platforms that allow individuals to connect with others within a virtual network (such as Facebook, Twitter, Instagram, Snapchat, or LinkedIn), where they can share, co-create, or exchange various forms of digital content, including information, messages, photos, or videos ( Ahmed, Ahmad, Ahmad, & Zakaria, 2019 ). Studies have reported that individuals living with a range of mental disorders, including depression, psychotic disorders, or other severe mental illnesses, use social media platforms at comparable rates as the general population, with use ranging from about 70% among middle-age and older individuals, to upwards of 97% among younger individuals ( Aschbrenner, Naslund, Grinley, et al., 2018 ; M. L. Birnbaum, Rizvi, Correll, Kane, & Confino, 2017 ; Brunette et al., 2019 ; Naslund, Aschbrenner, & Bartels, 2016 ). Other exploratory studies have found that many of these individuals with mental illness appear to turn to social media to share their personal experiences, seek information about their mental health and treatment options, and give and receive support from others facing similar mental health challenges ( Bucci, Schwannauer, & Berry, 2019 ; Naslund, Aschbrenner, Marsch, & Bartels, 2016b ).

Across the United States and globally, very few people living with mental illness have access to adequate mental health services ( Patel et al., 2018 ). The wide reach and near ubiquitous use of social media platforms may afford novel opportunities to address these shortfalls in existing mental health care, by enhancing the quality, availability, and reach of services. Recent studies have explored patterns of social media use, impact of social media use on mental health and wellbeing, and the potential to leverage the popularity and interactive features of social media to enhance the delivery of interventions. However, there remains uncertainty regarding the risks and potential harms of social media for mental health ( Orben & Przybylski, 2019 ), and how best to weigh these concerns against potential benefits.

In this commentary, we summarized current research on the use of social media among individuals with mental illness, with consideration of the impact of social media on mental wellbeing, as well as early efforts using social media for delivery of evidence-based programs for addressing mental health problems. We searched for recent peer reviewed publications in Medline and Google Scholar using the search terms “mental health” or “mental illness” and “social media”, and searched the reference lists of recent reviews and other relevant studies. We reviewed the risks, potential harms, and necessary safety precautions with using social media for mental health. Overall, our goal was to consider the role of social media as a potentially viable intervention platform for offering support to persons with mental disorders, promoting engagement and retention in care, and enhancing existing mental health services, while balancing the need for safety. Given this broad objective, we did not perform a systematic search of the literature and we did not apply specific inclusion criteria based on study design or type of mental disorder.

Social Media Use and Mental Health

In 2020, there are an estimated 3.8 billion social media users worldwide, representing half the global population ( We Are Social, 2020 ). Recent studies have shown that individuals with mental disorders are increasingly gaining access to and using mobile devices, such as smartphones ( Firth et al., 2015 ; Glick, Druss, Pina, Lally, & Conde, 2016 ; Torous, Chan, et al., 2014 ; Torous, Friedman, & Keshavan, 2014 ). Similarly, there is mounting evidence showing high rates of social media use among individuals with mental disorders, including studies looking at engagement with these popular platforms across diverse settings and disorder types. Initial studies from 2015 found that nearly half of a sample of psychiatric patients were social media users, with greater use among younger individuals ( Trefflich, Kalckreuth, Mergl, & Rummel-Kluge, 2015 ), while 47% of inpatients and outpatients with schizophrenia reported using social media, of which 79% reported at least once-a-week usage of social media websites ( Miller, Stewart, Schrimsher, Peeples, & Buckley, 2015 ). Rates of social media use among psychiatric populations have increased in recent years, as reflected in a study with data from 2017 showing comparable rates of social media use (approximately 70%) among individuals with serious mental illness in treatment as compared to low-income groups from the general population ( Brunette et al., 2019 ).

Similarly, among individuals with serious mental illness receiving community-based mental health services, a recent study found equivalent rates of social media use as the general population, even exceeding 70% of participants ( Naslund, Aschbrenner, & Bartels, 2016 ). Comparable findings were demonstrated among middle-age and older individuals with mental illness accessing services at peer support agencies, where 72% of respondents reported using social media ( Aschbrenner, Naslund, Grinley, et al., 2018 ). Similar results, with 68% of those with first episode psychosis using social media daily were reported in another study ( Abdel-Baki, Lal, D.-Charron, Stip, & Kara, 2017 ).

Individuals who self-identified as having a schizophrenia spectrum disorder responded to a survey shared through the National Alliance of Mental Illness (NAMI), and reported that visiting social media sites was one of their most common activities when using digital devices, taking up roughly 2 hours each day ( Gay, Torous, Joseph, Pandya, & Duckworth, 2016 ). For adolescents and young adults ages 12 to 21 with psychotic disorders and mood disorders, over 97% reported using social media, with average use exceeding 2.5 hours per day ( M. L. Birnbaum et al., 2017 ). Similarly, in a sample of adolescents ages 13-18 recruited from community mental health centers, 98% reported using social media, with YouTube as the most popular platform, followed by Instagram and Snapchat ( Aschbrenner et al., 2019 ).

Research has also explored the motivations for using social media as well as the perceived benefits of interacting on these platforms among individuals with mental illness. In the sections that follow (see Table 1 for a summary), we consider three potentially unique features of interacting and connecting with others on social media that may offer benefits for individuals living with mental illness. These include: 1) Facilitate social interaction; 2) Access to a peer support network; and 3) Promote engagement and retention in services.

Summary of potential benefits and challenges with social media for mental health

Facilitate Social Interaction

Social media platforms offer near continuous opportunities to connect and interact with others, regardless of time of day or geographic location. This on demand ease of communication may be especially important for facilitating social interaction among individuals with mental disorders experiencing difficulties interacting in face-to-face settings. For example, impaired social functioning is a common deficit in schizophrenia spectrum disorders, and social media may facilitate communication and interacting with others for these individuals ( Torous & Keshavan, 2016 ). This was suggested in one study where participants with schizophrenia indicated that social media helped them to interact and socialize more easily ( Miller et al., 2015 ). Like other online communication, the ability to connect with others anonymously may be an important feature of social media, especially for individuals living with highly stigmatizing health conditions ( Berger, Wagner, & Baker, 2005 ), such as serious mental disorders ( Highton-Williamson, Priebe, & Giacco, 2015 ).

Studies have found that individuals with serious mental disorders ( Spinzy, Nitzan, Becker, Bloch, & Fennig, 2012 ) as well as young adults with mental illness ( Gowen, Deschaine, Gruttadara, & Markey, 2012 ) appear to form online relationships and connect with others on social media as often as social media users from the general population. This is an important observation because individuals living with serious mental disorders typically have few social contacts in the offline world, and also experience high rates of loneliness ( Badcock et al., 2015 ; Giacco, Palumbo, Strappelli, Catapano, & Priebe, 2016 ). Among individuals receiving publicly funded mental health services who use social media, nearly half (47%) reported using these platforms at least weekly to feel less alone ( Brusilovskiy, Townley, Snethen, & Salzer, 2016 ). In another study of young adults with serious mental illness, most indicated that they used social media to help feel less isolated ( Gowen et al., 2012 ). Interestingly, more frequent use of social media among a sample of individuals with serious mental illness was associated with greater community participation, measured as participation in shopping, work, religious activities or visiting friends and family, as well as greater civic engagement, reflected as voting in local elections ( Brusilovskiy et al., 2016 ).

Emerging research also shows that young people with moderate to severe depressive symptoms appear to prefer communicating on social media rather than in-person ( Rideout & Fox, 2018 ), while other studies have found that some individuals may prefer to seek help for mental health concerns online rather than through in-person encounters ( Batterham & Calear, 2017 ). In a qualitative study, participants with schizophrenia described greater anonymity, the ability to discover that other people have experienced similar health challenges, and reducing fears through greater access to information as important motivations for using the Internet to seek mental health information ( Schrank, Sibitz, Unger, & Amering, 2010 ). Because social media does not require the immediate responses necessary in face-to-face communication, it may overcome deficits with social interaction due to psychotic symptoms that typically adversely affect face-to-face conversations ( Docherty et al., 1996 ). Online social interactions may not require the use of non-verbal cues, particularly in the initial stages of interaction ( Kiesler, Siegel, & McGuire, 1984 ), with interactions being more fluid, and within the control of users, thereby overcoming possible social anxieties linked to in-person interaction ( Indian & Grieve, 2014 ). Furthermore, many individuals with serious mental disorders can experience symptoms including passive social withdrawal, blunted affect and attentional impairment, as well as active social avoidance due to hallucinations or other concerns ( Hansen, Torgalsbøen, Melle, & Bell, 2009 ); thus, potentially reinforcing the relative advantage, as perceived by users, of using social media over in person conversations.

Access to a Peer Support Network

There is growing recognition about the role that social media channels could play in enabling peer support ( Bucci et al., 2019 ; Naslund, Aschbrenner, et al., 2016b ), referred to as a system of mutual giving and receiving where individuals who have endured the difficulties of mental illness can offer hope, friendship, and support to others facing similar challenges ( Davidson, Chinman, Sells, & Rowe, 2006 ; Mead, Hilton, & Curtis, 2001 ). Initial studies exploring use of online self-help forums among individuals with serious mental illnesses have found that individuals with schizophrenia appeared to use these forums for self-disclosure, and sharing personal experiences, in addition to providing or requesting information, describing symptoms, or discussing medication ( Haker, Lauber, & Rössler, 2005 ), while users with bipolar disorder reported using these forums to ask for help from others about their illness ( Vayreda & Antaki, 2009 ). More recently, in a review of online social networking in people with psychosis, Highton-Williamson et al (2015) highlight that an important purpose of such online connections was to establish new friendships, pursue romantic relationships, maintain existing relationships or reconnect with people, and seek online peer support from others with lived experience ( Highton-Williamson et al., 2015 ).

Online peer support among individuals with mental illness has been further elaborated in various studies. In a content analysis of comments posted to YouTube by individuals who self-identified as having a serious mental illness, there appeared to be opportunities to feel less alone, provide hope, find support and learn through mutual reciprocity, and share coping strategies for day-to-day challenges of living with a mental illness ( Naslund, Grande, Aschbrenner, & Elwyn, 2014 ). In another study, Chang (2009) delineated various communication patterns in an online psychosis peer-support group ( Chang, 2009 ). Specifically, different forms of support emerged, including ‘informational support’ about medication use or contacting mental health providers, ‘esteem support’ involving positive comments for encouragement, ‘network support’ for sharing similar experiences, and ‘emotional support’ to express understanding of a peer’s situation and offer hope or confidence ( Chang, 2009 ). Bauer et al. (2013) reported that the main interest in online self-help forums for patients with bipolar disorder was to share emotions with others, allow exchange of information, and benefit by being part of an online social group ( Bauer, Bauer, Spiessl, & Kagerbauer, 2013 ).

For individuals who openly discuss mental health problems on Twitter, a study by Berry et al. (2017) found that this served as an important opportunity to seek support and to hear about the experiences of others ( Berry et al., 2017 ). In a survey of social media users with mental illness, respondents reported that sharing personal experiences about living with mental illness and opportunities to learn about strategies for coping with mental illness from others were important reasons for using social media ( Naslund et al., 2017 ). A computational study of mental health awareness campaigns on Twitter provides further support with inspirational posts and tips being the most shared ( Saha et al., 2019 ). Taken together, these studies offer insights about the potential for social media to facilitate access to an informal peer support network, though more research is necessary to examine how these online interactions may impact intentions to seek care, illness self-management, and clinically meaningful outcomes in offline contexts.

Promote Engagement and Retention in Services

Many individuals living with mental disorders have expressed interest in using social media platforms for seeking mental health information ( Lal, Nguyen, & Theriault, 2018 ), connecting with mental health providers ( M. L. Birnbaum et al., 2017 ), and accessing evidence-based mental health services delivered over social media specifically for coping with mental health symptoms or for promoting overall health and wellbeing ( Naslund et al., 2017 ). With the widespread use of social media among individuals living with mental illness combined with the potential to facilitate social interaction and connect with supportive peers, as summarized above, it may be possible to leverage the popular features of social media to enhance existing mental health programs and services. A recent review by Biagianti et al (2018) found that peer-to-peer support appeared to offer feasible and acceptable ways to augment digital mental health interventions for individuals with psychotic disorders by specifically improving engagement, compliance, and adherence to the interventions, and may also improve perceived social support ( Biagianti, Quraishi, & Schlosser, 2018 ).

Among digital programs that have incorporated peer-to-peer social networking consistent with popular features on social media platforms, a pilot study of the HORYZONS online psychosocial intervention demonstrated significant reductions in depression among patients with first episode psychosis ( Alvarez-Jimenez et al., 2013 ). Importantly, the majority of participants (95%) in this study engaged with the peer-to-peer networking feature of the program, with many reporting increases in perceived social connectedness and empowerment in their recovery process ( Alvarez-Jimenez et al., 2013 ). This moderated online social therapy program is now being evaluated as part of a large randomized controlled trial for maintaining treatment effects from first episode psychosis services ( Alvarez-Jimenez et al., 2019 ).

Other early efforts have demonstrated that use of digital environments with the interactive peer-to-peer features of social media can enhance social functioning and wellbeing in young people at high risk of psychosis ( Alvarez-Jimenez et al., 2018 ). There has also been a recent emergence of several mobile apps to support symptom monitoring and relapse prevention in psychotic disorders. Among these apps, the development of PRIME (Personalized Real-time Intervention for Motivational Enhancement) has involved working closely with young people with schizophrenia to ensure that the design of the app has the look and feel of mainstream social media platforms, as opposed to existing clinical tools ( Schlosser et al., 2016 ). This unique approach to the design of the app is aimed at promoting engagement, and ensuring that the app can effectively improve motivation and functioning through goal setting and promoting better quality of life of users with schizophrenia ( Schlosser et al., 2018 ).

Social media platforms could also be used to promote engagement and participation in in-person services delivered through community mental health settings. For example, the peer-based lifestyle intervention called PeerFIT targets weight loss and improved fitness among individuals living with serious mental illness through a combination of in-person lifestyle classes, exercise groups, and use of digital technologies ( Aschbrenner, Naslund, Shevenell, Kinney, & Bartels, 2016 ; Aschbrenner, Naslund, Shevenell, Mueser, & Bartels, 2016 ). The intervention holds tremendous promise as lack of support is one of the largest barriers toward exercise in patients with serious mental illness ( Firth et al., 2016 ) and it is now possible to use social media to counter such. Specifically, in PeerFIT, a private Facebook group is closely integrated into the program to offer a closed platform where participants can connect with the lifestyle coaches, access intervention content, and support or encourage each other as they work towards their lifestyle goals ( Aschbrenner, Naslund, & Bartels, 2016 ; Naslund, Aschbrenner, Marsch, & Bartels, 2016a ). To date, this program has demonstrate preliminary effectiveness for meaningfully reducing cardiovascular risk factors that contribute to early mortality in this patient group ( Aschbrenner, Naslund, Shevenell, Kinney, et al., 2016 ), while the Facebook component appears to have increased engagement in the program, while allowing participants who were unable to attend in-person sessions due to other health concerns or competing demands to remain connected with the program ( Naslund, Aschbrenner, Marsch, McHugo, & Bartels, 2018 ). This lifestyle intervention is currently being evaluated in a randomized controlled trial enrolling young adults with serious mental illness from a variety of real world community mental health services settings ( Aschbrenner, Naslund, Gorin, et al., 2018 ).

These examples highlight the promise of incorporating the features of popular social media into existing programs, which may offer opportunities to safely promote engagement and program retention, while achieving improved clinical outcomes. This is an emerging area of research, as evidenced by several important effectiveness trials underway ( Alvarez-Jimenez et al., 2019 ; Aschbrenner, Naslund, Gorin, et al., 2018 ), including efforts to leverage online social networking to support family caregivers of individuals receiving first episode psychosis services ( Gleeson et al., 2017 ).

Challenges with Social Media for Mental Health

The science on the role of social media for engaging persons with mental disorders needs a cautionary note on the effects of social media usage on mental health and well being, particularly in adolescents and young adults. While the risks and harms of social media are frequently covered in the popular press and mainstream news reports, careful consideration of the research in this area is necessary. In a review of 43 studies in young people, many benefits of social media were cited, including increased self-esteem, and opportunities for self-disclosure ( Best, Manktelow, & Taylor, 2014 ). Yet, reported negative effects were an increased exposure to harm, social isolation, depressive symptoms and bullying ( Best et al., 2014 ). In the sections that follow (see Table 1 for a summary), we consider three major categories of risk related to use of social media and mental health. These include: 1) Impact on symptoms; 2) Facing hostile interactions; and 3) Consequences for daily life.

Impact on Symptoms

Studies consistently highlight that use of social media, especially heavy use and prolonged time spent on social media platforms, appears to contribute to increased risk for a variety of mental health symptoms and poor wellbeing, especially among young people ( Andreassen et al., 2016 ; Kross et al., 2013 ; Woods & Scott, 2016 ). This may partly be driven by the detrimental effects of screen time on mental health, including increased severity of anxiety and depressive symptoms, which have been well documented ( Stiglic & Viner, 2019 ). Recent studies have reported negative effects of social media use on mental health of young people, including social comparison pressure with others and greater feeling of social isolation after being rejected by others on social media ( Rideout & Fox, 2018 ). In a study of young adults, it was found that negative comparisons with others on Facebook contributed to risk of rumination and subsequent increases in depression symptoms ( Feinstein et al., 2013 ). Still, the cross sectional nature of many screen time and mental health studies makes it challenging to reach causal inferences ( Orben & Przybylski, 2019 ).

Quantity of social media use is also an important factor, as highlighted in a survey of young adults ages 19 to 32, where more frequent visits to social media platforms each week were correlated with greater depressive symptoms ( Lin et al., 2016 ). More time spent using social media is also associated with greater symptoms of anxiety ( Vannucci, Flannery, & Ohannessian, 2017 ). The actual number of platforms accessed also appears to contribute to risk as reflected in another national survey of young adults where use of a large number of social media platforms was associated with negative impact on mental health ( Primack et al., 2017 ). Among survey respondents using between 7 and 11 different social media platforms compared to respondents using only 2 or fewer platforms, there was a 3 times greater odds of having high levels of depressive symptoms and a 3.2 times greater odds of having high levels of anxiety symptoms ( Primack et al., 2017 ).

Many researchers have postulated that worsening mental health attributed to social media use may be because social media replaces face-to-face interactions for young people ( Twenge & Campbell, 2018 ), and may contribute to greater loneliness ( Bucci et al., 2019 ), and negative effects on other aspects of health and wellbeing ( Woods & Scott, 2016 ). One nationally representative survey of US adolescents found that among respondents who reported more time accessing media such as social media platforms or smartphone devices, there was significantly greater depressive symptoms and increased risk of suicide when compared to adolescents who reported spending more time on non-screen activities, such as in-person social interaction or sports and recreation activities ( Twenge, Joiner, Rogers, & Martin, 2018 ). For individuals living with more severe mental illnesses, the effects of social media on psychiatric symptoms have received less attention. One study found that participation in chat rooms may contribute to worsening symptoms in young people with psychotic disorders ( Mittal, Tessner, & Walker, 2007 ), while another study of patients with psychosis found that social media use appeared to predict low mood ( Berry, Emsley, Lobban, & Bucci, 2018 ). These studies highlight a clear relationship between social media use and mental health that may not be present in general population studies ( Orben & Przybylski, 2019 ), and emphasize the need to explore how social media may contribute to symptom severity and whether protective factors may be identified to mitigate these risks.

Facing Hostile Interactions

Popular social media platforms can create potential situations where individuals may be victimized by negative comments or posts. Cyberbullying represents a form of online aggression directed towards specific individuals, such as peers or acquaintances, which is perceived to be most harmful when compared to random hostile comments posted online ( Hamm et al., 2015 ). Importantly, cyberbullying on social media consistently shows harmful impact on mental health in the form of increased depressive symptoms as well as worsening of anxiety symptoms, as evidenced in a review of 36 studies among children and young people ( Hamm et al., 2015 ). Furthermore, cyberbullying disproportionately impacts females as reflected in a national survey of adolescents in the United States, where females were twice as likely to be victims of cyberbullying compared to males ( Alhajji, Bass, & Dai, 2019 ). Most studies report cross-sectional associations between cyberbullying and symptoms of depression or anxiety ( Hamm et al., 2015 ), though one longitudinal study in Switzerland found that cyberbullying contributed to significantly greater depression over time ( Machmutow, Perren, Sticca, & Alsaker, 2012 ).

For youth ages 10 to 17 who reported major depressive symptomatology, there was over 3 times greater odds of facing online harassment in the last year compared to youth who reported mild or no depressive symptoms ( Ybarra, 2004 ). Similarly, in a 2018 national survey of young people, respondents ages 14 to 22 with moderate to severe depressive symptoms were more likely to have had negative experiences when using social media, and in particular, were more likely to report having faced hostile comments, or being “trolled”, from others when compared to respondents without depressive symptoms (31% vs. 14%) ( Rideout & Fox, 2018 ). As these studies depict risks for victimization on social media and the correlation with poor mental health, it is possible that individuals living with mental illness may also experience greater hostility online compared to individuals without mental illness. This would be consistent with research showing greater risk of hostility, including increased violence and discrimination, directed towards individuals living with mental illness in in-person contexts, especially targeted at those with severe mental illnesses ( Goodman et al., 1999 ).

A computational study of mental health awareness campaigns on Twitter reported that while stigmatizing content was rare, it was actually the most spread (re-tweeted) demonstrating that harmful content can travel quickly on social media ( Saha et al., 2019 ). Another study was able to map the spread of social media posts about the Blue Whale Challenge, an alleged game promoting suicide, over Twitter, YouTube, Reddit, Tumblr and other forums across 127 countries ( Sumner et al., 2019 ). These findings show that it is critical to monitor the actual content of social media posts, such as determining whether content is hostile or promotes harm to self or others. This is pertinent because existing research looking at duration of exposure cannot account for the impact of specific types of content on mental health and is insufficient to fully understand the effects of using these platforms on mental health.

Consequences for Daily Life

The ways in which individuals use social media can also impact their offline relationships and everyday activities. To date, reports have described risks of social media use pertaining to privacy, confidentiality, and unintended consequences of disclosing personal health information online ( Torous & Keshavan, 2016 ). Additionally, concerns have been raised about poor quality or misleading health information shared on social media, and that social media users may not be aware of misleading information or conflicts of interest especially when the platforms promote popular content regardless of whether it is from a trustworthy source ( Moorhead et al., 2013 ; Ventola, 2014 ). For persons living with mental illness there may be additional risks from using social media. A recent study that specifically explored the perspectives of social media users with serious mental illnesses, including participants with schizophrenia spectrum disorders, bipolar disorder, or major depression, found that over one third of participants expressed concerns about privacy when using social media ( Naslund & Aschbrenner, 2019 ). The reported risks of social media use were directly related to many aspects of everyday life, including concerns about threats to employment, fear of stigma and being judged, impact on personal relationships, and facing hostility or being hurt ( Naslund & Aschbrenner, 2019 ). While few studies have specifically explored the dangers of social media use from the perspectives of individuals living with mental illness, it is important to recognize that use of these platforms may contribute to risks that extend beyond worsening symptoms and that can affect different aspects of daily life.

In this commentary we considered ways in which social media may yield benefits for individuals living with mental illness, while contrasting these with the possible harms. Studies reporting on the threats of social media for individuals with mental illness are mostly cross-sectional, making it difficult to draw conclusions about direction of causation. However, the risks are potentially serious. These risks should be carefully considered in discussions pertaining to use of social media and the broader use of digital mental health technologies, as avenues for mental health promotion, or for supporting access to evidence-based programs or mental health services. At this point, it would be premature to view the benefits of social media as outweighing the possible harms, when it is clear from the studies summarized here that social media use can have negative effects on mental health symptoms, can potentially expose individuals to hurtful content and hostile interactions, and can result in serious consequences for daily life, including threats to employment and personal relationships. Despite these risks, it is also necessary to recognize that individuals with mental illness will continue to use social media given the ease of accessing these platforms and the immense popularity of online social networking. With this in mind, it may be ideal to raise awareness about these possible risks so that individuals can implement necessary safeguards, while also highlighting that there could also be benefits. For individuals with mental illness who use social media, being aware of the risks is an essential first step, and then highlighting ways that use of these popular platforms could also contribute to some benefits, ranging from finding meaningful interactions with others, engaging with peer support networks, and accessing information and services.

To capitalize on the widespread use of social media, and to achieve the promise that these platforms may hold for supporting the delivery of targeted mental health interventions, there is need for continued research to better understand how individuals living with mental illness use social media. Such efforts could inform safety measures and also encourage use of social media in ways that maximize potential benefits while minimizing risk of harm. It will be important to recognize how gender and race contribute to differences in use of social media for seeking mental health information or accessing interventions, as well as differences in how social media might impact mental wellbeing. For example, a national survey of 14- to 22-year olds in the United States found that female respondents were more likely to search online for information about depression or anxiety, and to try to connect with other people online who share similar mental health concerns, when compared to male respondents ( Rideout & Fox, 2018 ). In the same survey, there did not appear to be any differences between racial or ethnic groups in social media use for seeking mental health information ( Rideout & Fox, 2018 ). Social media use also appears to have a differential impact on mental health and emotional wellbeing between females and males ( Booker, Kelly, & Sacker, 2018 ), highlighting the need to explore unique experiences between gender groups to inform tailored programs and services. Research shows that lesbian, gay, bisexual or transgender individuals frequently use social media for searching for health information and may be more likely compared to heterosexual individuals to share their own personal health experiences with others online ( Rideout & Fox, 2018 ). Less is known about use of social media for seeking support for mental health concerns among gender minorities, though this is an important area for further investigation as these individuals are more likely to experience mental health problems and more likely to experience online victimization when compared to heterosexual individuals ( Mereish, Sheskier, Hawthorne, & Goldbach, 2019 ).

Similarly, efforts are needed to explore the relationship between social media use and mental health among ethnic and racial minorities. A recent study found that exposure to traumatic online content on social media showing violence or hateful posts directed at racial minorities contributed to increases in psychological distress, PTSD symptoms, and depression among African American and Latinx adolescents in the United States ( Tynes, Willis, Stewart, & Hamilton, 2019 ). These concerns are contrasted by growing interest in the potential for new technologies including social media to expand the reach of services to underrepresented minority groups ( Schueller, Hunter, Figueroa, & Aguilera, 2019 ). Therefore, greater attention is needed to understanding the perspectives of ethnic and racial minorities to inform effective and safe use of social media for mental health promotion efforts.

Research has found that individuals living with mental illness have expressed interest in accessing mental health services through social media platforms. A survey of social media users with mental illness found that most respondents were interested in accessing programs for mental health on social media targeting symptom management, health promotion, and support for communicating with health care providers and interacting with the health system ( Naslund et al., 2017 ). Importantly, individuals with serious mental illness have also emphasized that any mental health intervention on social media would need to be moderated by someone with adequate training and credentials, would need to have ground rules and ways to promote safety and minimize risks, and importantly, would need to be free and easy to access.

An important strength with this commentary is that it combines a range of studies broadly covering the topic of social media and mental health. We have provided a summary of recent evidence in a rapidly advancing field with the goal of presenting unique ways that social media could offer benefits for individuals with mental illness, while also acknowledging the potentially serious risks and the need for further investigation. There are also several limitations with this commentary that warrant consideration. Importantly, as we aimed to address this broad objective, we did not conduct a systematic review of the literature. Therefore, the studies reported here are not exhaustive, and there may be additional relevant studies that were not included. Additionally, we only summarized published studies, and as a result, any reports from the private sector or websites from different organizations using social media or other apps containing social media-like features would have been omitted. Though it is difficult to rigorously summarize work from the private sector, sometimes referred to as “gray literature”, because many of these projects are unpublished and are likely selective in their reporting of findings given the target audience may be shareholders or consumers.

Another notable limitation is that we did not assess risk of bias in the studies summarized in this commentary. We found many studies that highlighted risks associated with social media use for individuals living with mental illness; however, few studies of programs or interventions reported negative findings, suggesting the possibility that negative findings may go unpublished. This concern highlights the need for a future more rigorous review of the literature with careful consideration of bias and an accompanying quality assessment. Most of the studies that we described were from the United States, as well as from other higher income settings such as Australia or the United Kingdom. Despite the global reach of social media platforms, there is a dearth of research on the impact of these platforms on the mental health of individuals in diverse settings, as well as the ways in which social media could support mental health services in lower income countries where there is virtually no access to mental health providers. Future research is necessary to explore the opportunities and risks for social media to support mental health promotion in low-income and middle-income countries, especially as these countries face a disproportionate share of the global burden of mental disorders, yet account for the majority of social media users worldwide ( Naslund et al., 2019 ).

Future Directions for Social Media and Mental Health

As we consider future research directions, the near ubiquitous social media use also yields new opportunities to study the onset and manifestation of mental health symptoms and illness severity earlier than traditional clinical assessments. There is an emerging field of research referred to as ‘digital phenotyping’ aimed at capturing how individuals interact with their digital devices, including social media platforms, in order to study patterns of illness and identify optimal time points for intervention ( Jain, Powers, Hawkins, & Brownstein, 2015 ; Onnela & Rauch, 2016 ). Given that most people access social media via mobile devices, digital phenotyping and social media are closely related ( Torous et al., 2019 ). To date, the emergence of machine learning, a powerful computational method involving statistical and mathematical algorithms ( Shatte, Hutchinson, & Teague, 2019 ), has made it possible to study large quantities of data captured from popular social media platforms such as Twitter or Instagram to illuminate various features of mental health ( Manikonda & De Choudhury, 2017 ; Reece et al., 2017 ). Specifically, conversations on Twitter have been analyzed to characterize the onset of depression ( De Choudhury, Gamon, Counts, & Horvitz, 2013 ) as well as detecting users’ mood and affective states ( De Choudhury, Gamon, & Counts, 2012 ), while photos posted to Instagram can yield insights for predicting depression ( Reece & Danforth, 2017 ). The intersection of social media and digital phenotyping will likely add new levels of context to social media use in the near future.

Several studies have also demonstrated that when compared to a control group, Twitter users with a self-disclosed diagnosis of schizophrenia show unique online communication patterns ( Michael L Birnbaum, Ernala, Rizvi, De Choudhury, & Kane, 2017 ), including more frequent discussion of tobacco use ( Hswen et al., 2017 ), symptoms of depression and anxiety ( Hswen, Naslund, Brownstein, & Hawkins, 2018b ), and suicide ( Hswen, Naslund, Brownstein, & Hawkins, 2018a ). Another study found that online disclosures about mental illness appeared beneficial as reflected by fewer posts about symptoms following self-disclosure (Ernala, Rizvi, Birnbaum, Kane, & De Choudhury, 2017). Each of these examples offers early insights into the potential to leverage widely available online data for better understanding the onset and course of mental illness. It is possible that social media data could be used to supplement additional digital data, such as continuous monitoring using smartphone apps or smart watches, to generate a more comprehensive ‘digital phenotype’ to predict relapse and identify high-risk health behaviors among individuals living with mental illness ( Torous et al., 2019 ).

With research increasingly showing the valuable insights that social media data can yield about mental health states, greater attention to the ethical concerns with using individual data in this way is necessary ( Chancellor, Birnbaum, Caine, Silenzio, & De Choudhury, 2019 ). For instance, data is typically captured from social media platforms without the consent or awareness of users ( Bidargaddi et al., 2017 ), which is especially crucial when the data relates to a socially stigmatizing health condition such as mental illness ( Guntuku, Yaden, Kern, Ungar, & Eichstaedt, 2017 ). Precautions are needed to ensure that data is not made identifiable in ways that were not originally intended by the user who posted the content, as this could place an individual at risk of harm or divulge sensitive health information ( Webb et al., 2017 ; Williams, Burnap, & Sloan, 2017 ). Promising approaches for minimizing these risks include supporting the participation of individuals with expertise in privacy, clinicians, as well as the target individuals with mental illness throughout the collection of data, development of predictive algorithms, and interpretation of findings ( Chancellor et al., 2019 ).

In recognizing that many individuals living with mental illness use social media to search for information about their mental health, it is possible that they may also want to ask their clinicians about what they find online to check if the information is reliable and trustworthy. Alternatively, many individuals may feel embarrassed or reluctant to talk to their clinicians about using social media to find mental health information out of concerns of being judged or dismissed. Therefore, mental health clinicians may be ideally positioned to talk with their patients about using social media, and offer recommendations to promote safe use of these sites, while also respecting their patients’ autonomy and personal motivations for using these popular platforms. Given the gap in clinical knowledge about the impact of social media on mental health, clinicians should be aware of the many potential risks so that they can inform their patients, while remaining open to the possibility that their patients may also experience benefits through use of these platforms. As awareness of these risks grows, it may be possible that new protections will be put in place by industry or through new policies that will make the social media environment safer. It is hard to estimate a number needed to treat or harm today given the nascent state of research, which means the patient and clinician need to weigh the choice on a personal level. Thus offering education and information is an important first step in that process. As patients increasingly show interest in accessing mental health information or services through social media, it will be necessary for health systems to recognize social media as a potential avenue for reaching or offering support to patients. This aligns with growing emphasis on the need for greater integration of digital psychiatry, including apps, smartphones, or wearable devices, into patient care and clinical services through institution-wide initiatives and training clinical providers ( Hilty, Chan, Torous, Luo, & Boland, 2019 ). Within a learning healthcare environment where research and care are tightly intertwined and feedback between both is rapid, the integration of digital technologies into services may create new opportunities for advancing use of social media for mental health.

As highlighted in this commentary, social media has become an important part of the lives of many individuals living with mental disorders. Many of these individuals use social media to share their lived experiences with mental illness, to seek support from others, and to search for information about treatment recommendations, accessing mental health services, and coping with symptoms ( Bucci et al., 2019 ; Highton-Williamson et al., 2015 ; Naslund, Aschbrenner, et al., 2016b ). As the field of digital mental health advances, the wide reach, ease of access, and popularity of social media platforms could be used to allow individuals in need of mental health services or facing challenges of mental illness to access evidence-based treatment and support. To achieve this end and to explore whether social media platforms can advance efforts to close the gap in available mental health services in the United States and globally, it will be essential for researchers to work closely with clinicians and with those affected by mental illness to ensure that possible benefits of using social media are carefully weighed against anticipated risks.

Acknowledgements

Dr. Naslund is supported by a grant from the National Institute of Mental Health (U19MH113211). Dr. Aschbrenner is supported by a grant from the National Institute of Mental Health (1R01MH110965-01).

Publisher's Disclaimer: This Author Accepted Manuscript is a PDF file of a an unedited peer-reviewed manuscript that has been accepted for publication but has not been copyedited or corrected. The official version of record that is published in the journal is kept up to date and so may therefore differ from this version.

Conflict of Interest

The authors have nothing to disclose.

• Abdel-Baki A, Lai S, D.-Charron O, Stip E, & Kara N, (2017). Understanding access and use of technology among youth with first - episode psychosis to inform the development of technology - enabled therapeutic interventions . Early intervention in psychiatry , 77 ( 1 ), 72–76. [ PubMed ] [ Google Scholar ]
• Ahmed YA, Ahmad MN, Ahmad N, & Zakaria NH (2019). Social media for knowledge-sharing: A systematic literature review . Telematics and informatics , 37 , 72–112 . [ Google Scholar ]
• Alhajji M, Bass S, & Dai T (2019). Cyberbullying, mental health, and violence in adolescents and associations with sex and race: data from the 2015 Youth Risk Behavior Survey . Global pediatric health , 6 , 2333794X19868887. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Alvarez-Jimenez M, Bendall S, Koval P, Rice S, Cagliarini D, Valentine L, … Penn DL (2019). HORYZONS trial: protocol for a randomised controlled trial of a moderated online social therapy to maintain treatment effects from first-episode psychosis services . BMJ open , 9 ( 2 ), e024104. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Alvarez-Jimenez M, Bendall S, Lederman R, Wadley G, Chinnery G, Vargas S, … Gleeson JF (2013). On the HORYZON: moderated online social therapy for long-term recovery in first episode psychosis . Schizophrenia research , 143 ( 1 ), 143–149. [ PubMed ] [ Google Scholar ]
• Alvarez-Jimenez M, Gleeson J, Bendall S, Penn D, Yung A, Ryan R, … Miles C (2018). Enhancing social functioning in young people at Ultra High Risk (UHR) for psychosis: A pilot study of a novel strengths and mindfulness-based online social therapy . Schizophrenia research , 202 , 369–377. [ PubMed ] [ Google Scholar ]
• Andreassen CS, Billieux J, Griffiths MD, Kuss DJ, Demetrovics Z, Mazzoni E, & Pallesen S (2016). The relationship between addictive use of social media and video games and symptoms of psychiatric disorders: A large-scale cross-sectional study . Psychology of Addictive Behaviors , 30 ( 2 ), 252. [ PubMed ] [ Google Scholar ]
• Aschbrenner KA, Naslund JA, & Bartels SJ (2016). A mixed methods study of peer-to-peer support in a group-based lifestyle intervention for adults with serious mental illness . Psychiatric rehabilitation journal , 39 ( 4 ), 328. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Aschbrenner KA, Naslund JA, Gorin AA, Mueser KT, Scherer EA, Viron M, … Bartels SJ, (2018). Peer support and mobile health technology targeting obesity-related cardiovascular risk in young adults with serious mental illness: Protocol for a randomized controlled trial . Contemporary clinical trials , 74 , 97–106. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Aschbrenner KA, Naslund JA, Grinley T, Bienvenida JCM, Bartels SJ, & Brunette M (2018). A Survey of Online and Mobile Technology Use at Peer Support Agencies . Psychiatric Quarterly , 1–10. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Aschbrenner KA, Naslund JA, Shevenell M, Kinney E, & Bartels SJ (2016). A pilot study of a peer-group lifestyle intervention enhanced with mHealth technology and social media for adults with serious mental illness . The Journal of nervous and mental disease , 204 ( 6 ), 483–486. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Aschbrenner KA, Naslund JA, Shevenell M, Mueser KT, & Bartels SJ (2016). Feasibility of behavioral weight loss treatment enhanced with peer support and mobile health technology for individuals with serious mental illness . Psychiatric Quarterly , 57 ( 3 ), 401–415. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Aschbrenner KA, Naslund JA, Tomlinson EF, Kinney A, Pratt SI, & Brunette MF (2019). Adolescents’ Use of Digital Technologies and Preferences for Mobile Health Coaching in Mental Health Settings . Frontiers in Public Health . [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Badcock JC, Shah S, Mackinnon A, Stain HJ, Galletly C, Jablensky A, & Morgan VA (2015). Loneliness in psychotic disorders and its association with cognitive function and symptom profile . Schizophrenia research , 169 ( 1-3 ), 268–273. [ PubMed ] [ Google Scholar ]
• Batterham PJ, & Calear AJ (2017). Preferences for internet-based mental health interventions in an adult online sample: Findings from ann online community survey . JMIR mental health , 4 ( 2 ), e26. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Bauer R, Bauer M, Spiessl H, & Kagerbauer T (2013). Cyber-support: an analysis of online self-help forums (online self-help forums in bipolar disorder) . Nordic journal of psychiatry , 67 ( 3 ), 185–190. [ PubMed ] [ Google Scholar ]
• Berger M, Wagner TH, & Baker LC (2005). Internet use and stigmatized illness . Social science & medicine , 67 ( 8 ), 1821–1827. [ PubMed ] [ Google Scholar ]
• Berry N, Emsley R, Lobban F, & Bucci S (2018). Social media and its relationship with mood, self - esteem and paranoia in psychosis . Acta Psychiatrica Scandinavica , 138 , 558–570. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Berry N, Lobban F, Belousov M, Emsley R, Nenadic G, & Bucci S (2017). # Why We Tweet MH: understanding why people use Twitter to discuss mental health problems . Journal of medical Internet research , 19 ( 4 ), e107. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Best P, Manktelow R, & Taylor B (2014). Online communication, social media and adolescent wellbeing: A systematic narrative review . Children and Youth Services Review , 41 , 27–36. [ Google Scholar ]
• Biagianti B, Quraishi SH, & Schlosser DA (2018). Potential benefits of incorporating peer-to-peer interactions into digital interventions for psychotic disorders: a systematic review . Psychiatric Services , 69 ( 4 ), 377–388. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Bidargaddi N, Musiat P, Makinen V-P, Ermes M, Schrader G, & Licinio J (2017). Digital footprints: facilitating large-scale environmental psychiatric research in naturalistic settings through data from everyday technologies . Molecular psychiatry , 22 ( 2 ), 164. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Birnbaum ML, Emala SK, Rizvi AF, De Choudhury M, & Kane JM (2017). A Collaborative Approach to Identifying Social Media Markers of Schizophrenia by Employing Machine Learning and Clinical Appraisals . Journal of medical Internet research , 79 ( 8 ), e289. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Birnbaum ML, Rizvi AF, Correll CU, Kane JM, & Confino J (2017). Role of social media and the Internet in pathways to care for adolescents and young adults with psychotic disorders and non - psychotic mood disorders . Early intervention in psychiatry , 77 ( 4 ), 290–295. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Booker CL, Kelly YJ, & Sacker A (2018). Gender differences in the associations between age trends of social media interaction and well-being among 10-15 year olds in the UK . BMC public health , 18 ( 1 ), 321. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Brunette M, Achtyes E, Pratt S, Stilwell K, Opperman M, Guarino S, & Kay-Lambkin F (2019). Use of smartphones, computers and social media among people with SMI: opportunity for intervention . Community mental health journal , 1–6. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Brusilovskiy E, Townley G, Snethen G, & Salzer MS (2016). Social media use, community participation and psychological well-being among individuals with serious mental illnesses . Computers in Human Behavior , 65 , 232–240. [ Google Scholar ]
• Bucci S, Schwannauer M, & Berry N (2019). The digital revolution and its impact on mental health care . Psychology and Psychotherapy: Theory, Research and Practice , 1–21. [ PubMed ] [ Google Scholar ]
• Chancellor S, Birnbaum ML, Caine ED, Silenzio V, & De Choudhury M (2019). A taxonomy of ethical tensions in inferring mental health states from social media . Paper presented at the Proceedings of the Conference on Fairness, Accountability, and Transparency. [ Google Scholar ]
• Chang HJ (2009). Online supportive interactions: Using a network approach to examine communication patterns within a psychosis social support group in Taiwan . Journal of the American Society for Information Science and Technology , 60 ( 7 ), 1504–1517. [ Google Scholar ]
• Davidson L, Chinman M, Sells D, & Rowe M (2006). Peer support among adults with serious mental illness: a report from the field . Schizophrenia bulletin , 32 ( 3 ), 443–450. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• De Choudhury M, Gamon M, & Counts S (2012). Happy, nervous or surprised? classification of human affective states in social media . Paper presented at the Sixth International AAAI Conference on Weblogs and Social Media. [ Google Scholar ]
• De Choudhury M, Gamon M, Counts S, & Horvitz E (2013). Predicting Depression via Social Media . Paper presented at the Association for the Advancement of Artificial Intelligence. [ Google Scholar ]
• Docherty NM, Hawkins KA, Hoffman RE, Quinlan DM, Rakfeldt J, & Sledge WH (1996). Working memory, attention, and communication disturbances in schizophrenia . Journal of Abnormal Psychology , 105 ( 2 ), 212. [ PubMed ] [ Google Scholar ]
• Emala SK, Rizvi AF, Birnbaum ML, Kane JM, & De Choudhury M (2017). Linguistic Markers Indicating Therapeutic Outcomes of Social Media Disclosures of Schizophrenia . Proc. ACMHum.-Comput. Interact , 1 ( 1 ), 43. [ Google Scholar ]
• Feinstein BA, Hershenberg R, Bhatia V, Latack JA, Meuwly N, & Davila J (2013). Negative social comparison on Facebook and depressive symptoms: Rumination as a mechanism . Psychology of Popular Media Culture , 2 ( 3 ), 161. [ Google Scholar ]
• Firth J, Cotter J, Torous J, Bucci S, Firth JA, & Yung AR (2015). Mobile phone ownership and endorsement of “mHealth” among people with psychosis: a meta-analysis of cross-sectional studies . Schizophrenia bulletin , 42 ( 2 ), 448–455. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Firth J, Rosenbaum S, Stubbs B, Gorczynski P, Yung AR, & Vancampfort D (2016). Motivating factors and barriers towards exercise in severe mental illness: a systematic review and meta-analysis . Psychological medicine , 46 ( 14 ), 2869–2881. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Gay K, Torous J, Joseph A, Pandya A, & Duckworth K (2016). Digital technology use among individuals with schizophrenia: results of an online survey . JMIR mental health , 3 ( 2 ), el5. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Giacco D, Palumbo C, Strappelli N, Catapano F, & Priebe S (2016). Social contacts and loneliness in people with psychotic and mood disorders . Comprehensive Psychiatry , 66 , 59–66. [ PubMed ] [ Google Scholar ]
• Gleeson J, Lederman R, Herrman H, Koval P, Eleftheriadis D, Bendall S, … Alvarez-Jimenez M (2017). Moderated online social therapy for carers of young people recovering from first-episode psychosis: study protocol for a randomised controlled trial . Trials , 75 ( 1 ), 27. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Glick G, Druss B, Pina J, Lally C, & Conde M (2016). Use of mobile technology in a community mental health setting . Journal of telemedicine and telecare , 22 ( 7 ), 430–435. [ PubMed ] [ Google Scholar ]
• Goodman LA, Thompson KM, Weinfurt K, Corl S, Acker P, Mueser KT, & Rosenberg SD (1999). Reliability of reports of violent victimization and posttraumatic stress disorder among men and women with serious mental illness . Journal of Traumatic Stress: Official Publication of the International Society for Traumatic Stress Studies , 12 ( 4 ), 587–599. [ PubMed ] [ Google Scholar ]
• Gowen K, Deschaine M, Gruttadara D, & Markey D (2012). Young adults with mental health conditions and social networking websites: seeking tools to build community . Psychiatric rehabilitation journal , 35 ( 3 ), 245–250. [ PubMed ] [ Google Scholar ]
• Guntuku SC, Yaden DB, Kern ML, Ungar LH, & Eichstaedt JC (2017). Detecting depression and mental illness on social media: an integrative review . Current Opinion in Behavioral Sciences , 18 , 43–49. [ Google Scholar ]
• Haker EL, Lauber C, & Rossler W (2005). Internet forums: a self - help approach for individuals with schizophrenia? Acta Psychiatrica Scandinavica , 112 ( 6 ), 474–477. [ PubMed ] [ Google Scholar ]
• Hamm MP, Newton AS, Chisholm A, Shulhan J, Milne A, Sundar P, … Hartling L (2015). Prevalence and effect of cyberbullying on children and young people: A scoping review of social media studies . JAMA pediatrics , 769 ( 8 ), 770–777. [ PubMed ] [ Google Scholar ]
• Hansen CF, Torgalsboen A-K, Melle I, & Bell MD (2009). Passive/apathetic social withdrawal and active social avoidance in schizophrenia: difference in underlying psychological processes . The Journal of nervous and mental disease , 197 ( 4 ), 274–277. [ PubMed ] [ Google Scholar ]
• Highton-Williamson E, Priebe S, & Giacco D (2015). Online social networking in people with psychosis: a systematic review . International Journal of Social Psychiatry , 61 ( 1 ), 92–101. [ PubMed ] [ Google Scholar ]
• Hilty DM, Chan S, Torous J, Luo J, & Boland RJ (2019). Mobile health, smartphone/device, and apps for psychiatry and medicine: competencies, training, and faculty development issues . Psychiatric Clinics , 42 ( 2 ), 513–534. [ PubMed ] [ Google Scholar ]
• Hswen Y, Naslund JA, Brownstein JS, & Hawkins JB (2018a). Monitoring online discussions about suicide among Twitter users with schizophrenia: exploratory study . JMIR mental health , 5 ( 4 ), e11483. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Hswen Y, Naslund JA, Brownstein JS, & Hawkins JB (2018b). Online communication about depression and anxiety among twitter users with schizophrenia: preliminary findings to inform a digital phenotype using social media . Psychiatric Quarterly , 89 ( 3 ), 569–580. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Hswen Y, Naslund JA, Chandrashekar P, Siegel R, Brownstein JS, & Hawkins JB (2017). Exploring online communication about cigarette smoking among Twitter users who self-identify as having schizophrenia . Psychiatry research , 257 , 479–484. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Indian M, & Grieve R (2014). When Facebook is easier than face-to-face: social support dervied from Facebook in socially anxious individuals . Personality and Individual Differences , 59 , 102–106. [ Google Scholar ]
• Jain SH, Powers BW, Hawkins JB, & Brownstein JS (2015). The digital phenotype . Nature Biotechnology , 33 ( 5 ), 462. [ PubMed ] [ Google Scholar ]
• Kiesler S, Siegel J, & McGuire TW (1984). Social psychological aspects of computer-mediated communication . American Psychologist , 39 , 1123–1134. [ Google Scholar ]
• Kross E, Verduyn P, Demiralp E, Park J, Lee DS, Lin N, … Ybarra O (2013). Facebook use predicts declines in subjective well-being in young adults . PloS one , 5 ( 8 ), e69841. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Lai S, Nguyen V, & Theriault J (2018). Seeking mental health information and support online: experiences and perspectives of young people receiving treatment for first - episode psychosis . Early intervention in psychiatry , 72 ( 3 ), 324–330. [ PubMed ] [ Google Scholar ]
• Lin LY, Sidani JE, Shensa A, Radovic A, Miller E, Colditz JB, … Primack BA (2016). Association between social media use and depression among US young adults . Depression and anxiety , 22 ( 4 ), 323–331. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Machmutow K, Perren S, Sticca F, & Alsaker FD (2012). Peer victimisation and depressive symptoms: can specific coping strategies buffer the negative impact of cybervictimisation? Emotional and Behavioural Difficulties , 17 ( 3-4 ), 403–420. [ Google Scholar ]
• Manikonda L, & De Choudhury M (2017). Modeling and understanding visual attributes of mental health disclosures in social media . Paper presented at the Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. [ Google Scholar ]
• Mead S, Hilton D, & Curtis L (2001). Peer support: A theoretical perspective . Psychiatric rehabilitation journal , 25 ( 2 ), 134. [ PubMed ] [ Google Scholar ]
• Mereish EH, Sheskier M, Hawthorne DJ, & Goldbach JT (2019). Sexual orientation disparities in mental health and substance use among Black American young people in the USA: effects of cyber and bias-based victimisation . Culture, health & sexuality , 21 ( 9 ), 985–998. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Miller BJ, Stewart A, Schrimsher J, Peeples D, & Buckley PF (2015). How connected are people with schizophrenia? Cell phone, computer, email, and social media use . Psychiatry research , 225 ( 3 ), 458–463. [ PubMed ] [ Google Scholar ]
• Mittal VA, Tessner KD, & Walker EF (2007). Elevated social Internet use and schizotypal personality disorder in adolescents . Schizophrenia research , 94 ( 1-3 ), 50–57. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Moorhead SA, Hazlett DE, Harrison L, Carroll JK, Irwin A, & Hoving C (2013). A new dimension of health care: systematic review of the uses, benefits, and limitations of social media for health communication . Journal of medical Internet research , 15 ( 4 ), e85. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Naslund JA, & Aschbrenner KA (2019). Risks to privacy with use of social media: understanding the views of social media users with serious mental illness . Psychiatric Services , appi. ps. 201800520. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Naslund JA, Aschbrenner KA, & Bartels SJ (2016). How people living with serious mental illness use smartphones, mobile apps, and social media . Psychiatric rehabilitation journal , 39 ( 4 ), 364–367. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Naslund JA, Aschbrenner KA, Marsch LA, & Bartels SJ (2016a). Feasibility and acceptability of Facebook for health promotion among people with serious mental illness . Digital health , 2 , 2055207616654822. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Naslund JA, Aschbrenner KA, Marsch LA, & Bartels SJ (2016b). The future of mental health care: peer-to-peer support and social media . Epidemiology and Psychiatric Sciences , 25 ( 2 ), 113–122. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Naslund JA, Aschbrenner KA, Marsch LA, McHugo GJ, & Bartels SJ (2018). Facebook for supporting a lifestyle intervention for people with major depressive disorder, bipolar disorder, and schizophrenia: an exploratory study . Psychiatric Quarterly , 59 ( 1 ), 81–94. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Naslund JA, Aschbrenner KA, McHugo GJ, Unutzer J, Marsch LA, & Bartels SJ (2017). Exploring opportunities to support mental health care using social media: A survey of social media users with mental illness . Early intervention in psychiatry . [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Naslund JA, Gonsalves PP, Gruebner O, Pendse SR, Smith SL, Sharma A, & Raviola G (2019). Digital innovations for global mental health: opportunities for data science, task sharing, and early intervention . Current Treatment Options in Psychiatry , 1–15. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Naslund JA, Grande SW, Aschbrenner KA, & Elwyn G (2014). Naturally occurring peer support through social media: the experiences of individuals with severe mental illness using YouTube . PloS one , 9 ( 10 ), e110171. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Onnela J-P, & Rauch SL (2016). Harnessing smartphone-based digital phenotyping to enhance behavioral and mental health . Neuropsychopharmacology , 41 ( 7 ), 1691. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Orben A, & Przybylski AK (2019). The association between adolescent well-being and digital technology use . Nature Human Behaviour , 3 ( 2 ), 173. [ PubMed ] [ Google Scholar ]
• Patel V, Saxena S, Lund C, Thornicroft G, Baingana F, Bolton P, … Eaton J (2018). The Lancet Commission on global mental health and sustainable development . The Lancet . [ PubMed ] [ Google Scholar ]
• Primack BA, Shensa A, Escobar-Viera CG, Barrett EL, Sidani JE, Colditz JB, & James AE (2017). Use of multiple social media platforms and symptoms of depression and anxiety: A nationally-representative study among US young adults . Computers in Human Behavior , 69 , 1–9. [ Google Scholar ]
• Reece AG, & Danforth CM (2017). Instagram photos reveal predictive markers of depression . EPJ Data Science , 6 ( 1 ), 15. [ Google Scholar ]
• Reece AG, Reagan AJ, Lix KL, Dodds PS, Danforth CM, & Langer EJ (2017). Forecasting the onset and course of mental illness with Twitter data . Scientific reports , 7 ( 1 ), 13006. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Rideout V, & Fox S (2018). Digital health practices, social media use, and mental well-being among teens and young adults in the U.S Retrieved from San Francisco, CA: https://www.hopelab.org/reports/pdf/a-national-survey-by-hopelab-and-well-being-trust-2018.pdf [ Google Scholar ]
• Saha K, Torous J, Ernala SK, Rizuto C, Stafford A, & De Choudhury M (2019). A computational study of mental health awareness campaigns on social media . Translational behavioral medicine . [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Schlosser DA, Campellone T, Kim D, Truong B, Vergani S, Ward C, & Vinogradov S (2016). Feasibility of PRIME: a cognitive neuroscience-informed mobile app intervention to enhance motivated behavior and improve quality of life in recent onset schizophrenia . JMIR research protocols , 5 ( 2 ). [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Schlosser DA, Campellone TR, Truong B, Etter K, Vergani S, Komaiko K, & Vinogradov S (2018). Efficacy of PRIME, a mobile app intervention designed to improve motivation in young people with schizophrenia . Schizophrenia bulletin , 44 ( 5 ), 1010–1020. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Schrank B, Sibitz I, Unger A, & Amering M (2010). How patients with schizophrenia use the internet: qualitative study . Journal of medical Internet research , 12 ( 5 ), e70. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Schueller SM, Hunter JF, Figueroa C, & Aguilera A (2019). Use of digital mental health for marginalized and underserved populations . Current Treatment Options in Psychiatry , 6 ( 3 ), 243–255. [ Google Scholar ]
• Shatte AB, Hutchinson DM, & Teague SJ (2019). Machine learning in mental health: a scoping review of methods and applications . Psychological medicine , 49 ( 9 ), 1426–1448. [ PubMed ] [ Google Scholar ]
• Spinzy Y, Nitzan U, Becker G, Bloch Y, & Fennig S (2012). Does the Internet offer social opportunities for individuals with schizophrenia? a cross-sectional pilot study . Psychiatry research , 198 ( 2 ), 319–320. [ PubMed ] [ Google Scholar ]
• Stiglic N, & Viner RM (2019). Effects of screentime on the health and well-being of children and adolescents: a systematic review of reviews . BMJopen , 9 ( 1 ), e023191. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Sumner SA, Galik S, Mathieu J, Ward M, Kiley T, Bartholow B, … Mork P (2019). Temporal and geographic patterns of social media posts about an emerging suicide game . Journal of Adolescent Health . [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Torous J, Chan SR, Tan SY-M, Behrens J, Mathew I, Conrad EJ, … Keshavan M (2014). Patient smartphone ownership and interest in mobile apps to monitor symptoms of mental health conditions: a survey in four geographically distinct psychiatric clinics . JMIR mental health , 1 ( 1 ), e5. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Torous J, Friedman R, & Keshavan M (2014). Smartphone ownership and interest in mobile applications to monitor symptoms of mental health conditions . JMIR mHealth and uHealth , 2 ( 1 ), e2. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Torous J, & Keshavan M (2016). The role of social media in schizophrenia: evaluating risks, benefits, and potential . Current opinion in psychiatry , 29 ( 3 ), 190–195. [ PubMed ] [ Google Scholar ]
• Torous J, Wisniewski H, Bird B, Carpenter E, David G, Elejalde E, … Henson P (2019). Creating a digital health smartphone app and digital phenotyping platform for mental health and diverse healthcare needs: an interdisciplinary and collaborative approach . Journal of Technology in Behavioral Science , 1–13. [ Google Scholar ]
• Trefflich F, Kalckreuth S, Mergl R, & Rummel-Kluge C (2015). Psychiatric patients’ internet use corresponds to the internet use of the general public . Psychiatry research , 226 , 136–141. [ PubMed ] [ Google Scholar ]
• Twenge JM, & Campbell WK (2018). Associations between screen time and lower psychological well-being among children and adolescents: Evidence from a population-based study . Preventive medicine reports , 12 , 271–283. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Twenge JM, Joiner TE, Rogers ML, & Martin GN (2018). Increases in depressive symptoms, suicide-related outcomes, and suicide rates among US adolescents after 2010 and links to increased new media screen time . Clinical Psychological Science , 6 ( 1 ), 3–17. [ Google Scholar ]
• Tynes BM, Willis HA, Stewart AM, & Hamilton MW (2019). Race-related traumatic events online and mental health among adolescents of color . Journal of Adolescent Health , 65 ( 3 ), 371–377. [ PubMed ] [ Google Scholar ]
• Vannucci A, Flannery KM, & Ohannessian CM (2017). Social media use and anxiety in emerging adults . Journal of affective disorders , 207 , 163–166. [ PubMed ] [ Google Scholar ]
• Vayreda A, & Antaki C (2009). Social support and unsolicited advice in a bipolar disorder online forum . Qualitative health research , 19 ( 7 ), 931–942. [ PubMed ] [ Google Scholar ]
• Ventola CL (2014). Social media and health care professionals: benefits, risks, and best practices . Pharmacy and Therapeutics , 39 ( 7 ), 491. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• We Are Social. (2020). Digital in 2020 . Retrieved from https://wearesocial.com/global-digital-report-2019
• Webb H, Jirotka M, Stahl BC, Housley W, Edwards A, Williams M, … Burnap P (2017). The ethical challenges of publishing Twitter data for research dissemination . Paper presented at the Proceedings of the 2017 ACM on Web Science Conference. [ Google Scholar ]
• Williams ML, Burnap P, & Sloan L (2017). Towards an ethical framework for publishing Twitter data in social research: Taking into account users’ views, online context and algorithmic estimation . Sociology , 57 ( 6 ), 1149–1168. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Woods HC, & Scott H (2016). # Sleepyteens: Social media use in adolescence is associated with poor sleep quality, anxiety, depression and low self-esteem . Journal of adolescence , 57 , 41–49. [ PubMed ] [ Google Scholar ]
• Ybarra ML (2004). Linkages between depressive symptomatology and Internet harassment among young regular Internet users . Cyber Psychology & Behavior , 7 ( 2 ), 247–257. [ PubMed ] [ Google Scholar ]

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Pros & cons: impacts of social media on mental health

• Ágnes Zsila 1 , 2 &
• Marc Eric S. Reyes   ORCID: orcid.org/0000-0002-5280-1315 3  

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The use of social media significantly impacts mental health. It can enhance connection, increase self-esteem, and improve a sense of belonging. But it can also lead to tremendous stress, pressure to compare oneself to others, and increased sadness and isolation. Mindful use is essential to social media consumption.

Social media has become integral to our daily routines: we interact with family members and friends, accept invitations to public events, and join online communities to meet people who share similar preferences using these platforms. Social media has opened a new avenue for social experiences since the early 2000s, extending the possibilities for communication. According to recent research [ 1 ], people spend 2.3 h daily on social media. YouTube, TikTok, Instagram, and Snapchat have become increasingly popular among youth in 2022, and one-third think they spend too much time on these platforms [ 2 ]. The considerable time people spend on social media worldwide has directed researchers’ attention toward the potential benefits and risks. Research shows excessive use is mainly associated with lower psychological well-being [ 3 ]. However, findings also suggest that the quality rather than the quantity of social media use can determine whether the experience will enhance or deteriorate the user’s mental health [ 4 ]. In this collection, we will explore the impact of social media use on mental health by providing comprehensive research perspectives on positive and negative effects.

Social media can provide opportunities to enhance the mental health of users by facilitating social connections and peer support [ 5 ]. Indeed, online communities can provide a space for discussions regarding health conditions, adverse life events, or everyday challenges, which may decrease the sense of stigmatization and increase belongingness and perceived emotional support. Mutual friendships, rewarding social interactions, and humor on social media also reduced stress during the COVID-19 pandemic [ 4 ].

On the other hand, several studies have pointed out the potentially detrimental effects of social media use on mental health. Concerns have been raised that social media may lead to body image dissatisfaction [ 6 ], increase the risk of addiction and cyberbullying involvement [ 5 ], contribute to phubbing behaviors [ 7 ], and negatively affects mood [ 8 ]. Excessive use has increased loneliness, fear of missing out, and decreased subjective well-being and life satisfaction [ 8 ]. Users at risk of social media addiction often report depressive symptoms and lower self-esteem [ 9 ].

Overall, findings regarding the impact of social media on mental health pointed out some essential resources for psychological well-being through rewarding online social interactions. However, there is a need to raise awareness about the possible risks associated with excessive use, which can negatively affect mental health and everyday functioning [ 9 ]. There is neither a negative nor positive consensus regarding the effects of social media on people. However, by teaching people social media literacy, we can maximize their chances of having balanced, safe, and meaningful experiences on these platforms [ 10 ].

We encourage researchers to submit their research articles and contribute to a more differentiated overview of the impact of social media on mental health. BMC Psychology welcomes submissions to its new collection, which promises to present the latest findings in the emerging field of social media research. We seek research papers using qualitative and quantitative methods, focusing on social media users’ positive and negative aspects. We believe this collection will provide a more comprehensive picture of social media’s positive and negative effects on users’ mental health.

Data Availability

Not applicable.

Statista. (2022). Time spent on social media [Chart]. Accessed June 14, 2023, from https://www.statista.com/chart/18983/time-spent-on-social-media/ .

Pew Research Center. (2023). Teens and social media: Key findings from Pew Research Center surveys. Retrieved June 14, 2023, from https://www.pewresearch.org/short-reads/2023/04/24/teens-and-social-media-key-findings-from-pew-research-center-surveys/ .

Boer, M., Van Den Eijnden, R. J., Boniel-Nissim, M., Wong, S. L., Inchley, J. C.,Badura, P.,… Stevens, G. W. (2020). Adolescents’ intense and problematic social media use and their well-being in 29 countries. Journal of Adolescent Health , 66(6), S89-S99. https://doi.org/10.1016/j.jadohealth.2020.02.011.

Marciano L, Ostroumova M, Schulz PJ, Camerini AL. Digital media use and adolescents’ mental health during the COVID-19 pandemic: a systematic review and meta-analysis. Front Public Health. 2022;9:2208. https://doi.org/10.3389/fpubh.2021.641831 .

Article   Google Scholar  

Naslund JA, Bondre A, Torous J, Aschbrenner KA. Social media and mental health: benefits, risks, and opportunities for research and practice. J Technol Behav Sci. 2020;5:245–57. https://doi.org/10.1007/s41347-020-00094-8 .

Article   PubMed   PubMed Central   Google Scholar  

Harriger JA, Thompson JK, Tiggemann M. TikTok, TikTok, the time is now: future directions in social media and body image. Body Image. 2023;44:222–6. https://doi.org/10.1016/j.bodyim.2021.12.005 .

Article   PubMed   Google Scholar  

Chi LC, Tang TC, Tang E. The phubbing phenomenon: a cross-sectional study on the relationships among social media addiction, fear of missing out, personality traits, and phubbing behavior. Curr Psychol. 2022;41(2):1112–23. https://doi.org/10.1007/s12144-022-0135-4 .

Valkenburg PM. Social media use and well-being: what we know and what we need to know. Curr Opin Psychol. 2022;45:101294. https://doi.org/10.1016/j.copsyc.2020.101294 .

Bányai F, Zsila Á, Király O, Maraz A, Elekes Z, Griffiths MD, Urbán R, Farkas J, Rigó P Jr, Demetrovics Z. Problematic social media use: results from a large-scale nationally representative adolescent sample. PLoS ONE. 2017;12(1):e0169839. https://doi.org/10.1371/journal.pone.0169839 .

American Psychological Association. (2023). APA panel issues recommendations for adolescent social media use. Retrieved from https://apa-panel-issues-recommendations-for-adolescent-social-media-use-774560.html .

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Acknowledgements

Ágnes Zsila was supported by the ÚNKP-22-4 New National Excellence Program of the Ministry for Culture and Innovation from the source of the National Research, Development and Innovation Fund.

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Ágnes Zsila

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How Does Social Media Affect Your Mental Health?

Facebook has delayed the development of an Instagram app for children amid questions about its harmful effects on young people’s mental health. Does social media have an impact on your well-being?

By Nicole Daniels

What is your relationship with social media like? Which platforms do you spend the most time on? Which do you stay away from? How often do you log on?

What do you notice about your mental health and well-being when spending time on social networks?

In “ Facebook Delays Instagram App for Users 13 and Younger ,” Adam Satariano and Ryan Mac write about the findings of an internal study conducted by Facebook and what they mean for the Instagram Kids app that the company was developing:

Facebook said on Monday that it had paused development of an Instagram Kids service that would be tailored for children 13 years old or younger, as the social network increasingly faces questions about the app’s effect on young people’s mental health. The pullback preceded a congressional hearing this week about internal research conducted by Facebook , and reported in The Wall Street Journal , that showed the company knew of the harmful mental health effects that Instagram was having on teenage girls. The revelations have set off a public relations crisis for the Silicon Valley company and led to a fresh round of calls for new regulation. Facebook said it still wanted to build an Instagram product intended for children that would have a more “age appropriate experience,” but was postponing the plans in the face of criticism.

The article continues:

With Instagram Kids, Facebook had argued that young people were using the photo-sharing app anyway, despite age-requirement rules, so it would be better to develop a version more suitable for them. Facebook said the “kids” app was intended for ages 10 to 12 and would require parental permission to join, forgo ads and carry more age-appropriate content and features. Parents would be able to control what accounts their child followed. YouTube, which Google owns, has released a children’s version of its app. But since BuzzFeed broke the news this year that Facebook was working on the app, the company has faced scrutiny. Policymakers, regulators, child safety groups and consumer rights groups have argued that it hooks children on the app at a younger age rather than protecting them from problems with the service, including child predatory grooming, bullying and body shaming.

The article goes on to quote Adam Mosseri, the head of Instagram:

Mr. Mosseri said on Monday that the “the project leaked way before we knew what it would be” and that the company had “few answers” for the public at the time. Opposition to Facebook’s plans gained momentum this month when The Journal published articles based on leaked internal documents that showed Facebook knew about many of the harms it was causing. Facebook’s internal research showed that Instagram, in particular, had caused teen girls to feel worse about their bodies and led to increased rates of anxiety and depression, even while company executives publicly tried to minimize the app’s downsides.

But concerns about the effect of social media on young people go beyond Instagram Kids, the article notes:

A children’s version of Instagram would not fix more systemic problems, said Al Mik, a spokesman for 5Rights Foundation, a London group focused on digital rights issues for children. The group published a report in July showing that children as young as 13 were targeted within 24 hours of creating an account with harmful content, including material related to eating disorders, extreme diets, sexualized imagery, body shaming, self-harm and suicide. “Big Tobacco understood that the younger you got to someone, the easier you could get them addicted to become a lifelong user,” Doug Peterson, Nebraska’s attorney general, said in an interview. “I see some comparisons to social media platforms.” In May, attorneys general from 44 states and jurisdictions had signed a letter to Facebook’s chief executive, Mark Zuckerberg, asking him to end plans for building an Instagram app for children. American policymakers should pass tougher laws to restrict how tech platforms target children, said Josh Golin, executive director of Fairplay, a Boston-based group that was part of an international coalition of children’s and consumer groups opposed to the new app. Last year, Britain adopted an Age Appropriate Design Code , which requires added privacy protections for digital services used by people under the age of 18.

Students, read the entire article , then tell us:

Do you think Facebook made the right decision in halting the development of the Instagram Kids app? Do you think there should be social media apps for children 13 and younger? Why or why not?

What is your reaction to the research that found that Instagram can have harmful mental health effects on teenagers, particularly teenage girls? Have you experienced body image issues, anxiety or depression tied to your use of the app? How do you think social media affects your mental health?

What has your experience been on different social media apps? Are there apps that have a more positive or negative effect on your well-being? What do you think could explain these differences?

Have you ever been targeted with inappropriate or harmful content on Instagram or other social media apps? What responsibility do you think social media companies have to address these issues? Do you think there should be more protections in place for users under 18? Why or why not?

What does healthy social media engagement look like for you? What habits do you have around social media that you feel proud of? What behaviors would you like to change? How involved are your parents in your social media use? How involved do you think they should be?

If you were in charge of making Instagram, or another social media app, safer for teenagers, what changes would you make?

Want more writing prompts? You can find all of our questions in our Student Opinion column . Teachers, check out this guide to learn how you can incorporate them into your classroom.

Students 13 and older in the United States and Britain, and 16 and older elsewhere, are invited to comment. All comments are moderated by the Learning Network staff, but please keep in mind that once your comment is accepted, it will be made public.

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Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice

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Introduction

Social media has become a prominent fixture in the lives of many individuals facing the challenges of mental illness. Social media refers broadly to web and mobile platforms that allow individuals to connect with others within a virtual network (such as Facebook, Twitter, Instagram, Snapchat, or LinkedIn), where they can share, co-create, or exchange various forms of digital content, including information, messages, photos, or videos (Ahmed et al. 2019 ). Studies have reported that individuals living with a range of mental disorders, including depression, psychotic disorders, or other severe mental illnesses, use social media platforms at comparable rates as the general population, with use ranging from about 70% among middle-age and older individuals to upwards of 97% among younger individuals (Aschbrenner et al. 2018b ; Birnbaum et al. 2017b ; Brunette et al. 2019 ; Naslund et al. 2016 ). Other exploratory studies have found that many of these individuals with mental illness appear to turn to social media to share their personal experiences, seek information about their mental health and treatment options, and give and receive support from others facing similar mental health challenges (Bucci et al. 2019 ; Naslund et al. 2016b ).

Across the USA and globally, very few people living with mental illness have access to adequate mental health services (Patel et al. 2018 ). The wide reach and near ubiquitous use of social media platforms may afford novel opportunities to address these shortfalls in existing mental health care, by enhancing the quality, availability, and reach of services. Recent studies have explored patterns of social media use, impact of social media use on mental health and wellbeing, and the potential to leverage the popularity and interactive features of social media to enhance the delivery of interventions. However, there remains uncertainty regarding the risks and potential harms of social media for mental health (Orben and Przybylski 2019 ) and how best to weigh these concerns against potential benefits.

In this commentary, we summarized current research on the use of social media among individuals with mental illness, with consideration of the impact of social media on mental wellbeing, as well as early efforts using social media for delivery of evidence-based programs for addressing mental health problems. We searched for recent peer reviewed publications in Medline and Google Scholar using the search terms “mental health” or “mental illness” and “social media,” and searched the reference lists of recent reviews and other relevant studies. We reviewed the risks, potential harms, and necessary safety precautions with using social media for mental health. Overall, our goal was to consider the role of social media as a potentially viable intervention platform for offering support to persons with mental disorders, promoting engagement and retention in care, and enhancing existing mental health services, while balancing the need for safety. Given this broad objective, we did not perform a systematic search of the literature and we did not apply specific inclusion criteria based on study design or type of mental disorder.

Social Media Use and Mental Health

In 2020, there are an estimated 3.8 billion social media users worldwide, representing half the global population (We Are Social 2020 ). Recent studies have shown that individuals with mental disorders are increasingly gaining access to and using mobile devices, such as smartphones (Firth et al. 2015 ; Glick et al. 2016 ; Torous et al. 2014a , b ). Similarly, there is mounting evidence showing high rates of social media use among individuals with mental disorders, including studies looking at engagement with these popular platforms across diverse settings and disorder types. Initial studies from 2015 found that nearly half of a sample of psychiatric patients were social media users, with greater use among younger individuals (Trefflich et al. 2015 ), while 47% of inpatients and outpatients with schizophrenia reported using social media, of which 79% reported at least once-a-week usage of social media websites (Miller et al. 2015 ). Rates of social media use among psychiatric populations have increased in recent years, as reflected in a study with data from 2017 showing comparable rates of social media use (approximately 70%) among individuals with serious mental illness in treatment as compared with low-income groups from the general population (Brunette et al. 2019 ).

Similarly, among individuals with serious mental illness receiving community-based mental health services, a recent study found equivalent rates of social media use as the general population, even exceeding 70% of participants (Naslund et al. 2016 ). Comparable findings were demonstrated among middle-age and older individuals with mental illness accessing services at peer support agencies, where 72% of respondents reported using social media (Aschbrenner et al. 2018b ). Similar results, with 68% of those with first episode psychosis using social media daily were reported in another study (Abdel-Baki et al. 2017 ).

Individuals who self-identified as having a schizophrenia spectrum disorder responded to a survey shared through the National Alliance of Mental Illness (NAMI) and reported that visiting social media sites was one of their most common activities when using digital devices, taking up roughly 2 h each day (Gay et al. 2016 ). For adolescents and young adults ages 12 to 21 with psychotic disorders and mood disorders, over 97% reported using social media, with average use exceeding 2.5 h per day (Birnbaum et al. 2017b ). Similarly, in a sample of adolescents ages 13–18 recruited from community mental health centers, 98% reported using social media, with YouTube as the most popular platform, followed by Instagram and Snapchat (Aschbrenner et al. 2019 ).

Research has also explored the motivations for using social media as well as the perceived benefits of interacting on these platforms among individuals with mental illness. In the sections that follow (see Table 1 for a summary), we consider three potentially unique features of interacting and connecting with others on social media that may offer benefits for individuals living with mental illness. These include: (1) Facilitate social interaction; (2) Access to a peer support network; and (3) Promote engagement and retention in services.

Facilitate Social Interaction

Social media platforms offer near continuous opportunities to connect and interact with others, regardless of time of day or geographic location. This on demand ease of communication may be especially important for facilitating social interaction among individuals with mental disorders experiencing difficulties interacting in face-to-face settings. For example, impaired social functioning is a common deficit in schizophrenia spectrum disorders, and social media may facilitate communication and interacting with others for these individuals (Torous and Keshavan 2016 ). This was suggested in one study where participants with schizophrenia indicated that social media helped them to interact and socialize more easily (Miller et al. 2015 ). Like other online communication, the ability to connect with others anonymously may be an important feature of social media, especially for individuals living with highly stigmatizing health conditions (Berger et al. 2005 ), such as serious mental disorders (Highton-Williamson et al. 2015 ).

Studies have found that individuals with serious mental disorders (Spinzy et al. 2012 ) as well as young adults with mental illness (Gowen et al. 2012 ) appear to form online relationships and connect with others on social media as often as social media users from the general population. This is an important observation because individuals living with serious mental disorders typically have few social contacts in the offline world and also experience high rates of loneliness (Badcock et al. 2015 ; Giacco et al. 2016 ). Among individuals receiving publicly funded mental health services who use social media, nearly half (47%) reported using these platforms at least weekly to feel less alone (Brusilovskiy et al. 2016 ). In another study of young adults with serious mental illness, most indicated that they used social media to help feel less isolated (Gowen et al. 2012 ). Interestingly, more frequent use of social media among a sample of individuals with serious mental illness was associated with greater community participation, measured as participation in shopping, work, religious activities, or visiting friends and family, as well as greater civic engagement, reflected as voting in local elections (Brusilovskiy et al. 2016 ).

Emerging research also shows that young people with moderate to severe depressive symptoms appear to prefer communicating on social media rather than in-person (Rideout and Fox 2018 ), while other studies have found that some individuals may prefer to seek help for mental health concerns online rather than through in-person encounters (Batterham and Calear 2017 ). In a qualitative study, participants with schizophrenia described greater anonymity, the ability to discover that other people have experienced similar health challenges and reducing fears through greater access to information as important motivations for using the Internet to seek mental health information (Schrank et al. 2010 ). Because social media does not require the immediate responses necessary in face-to-face communication, it may overcome deficits with social interaction due to psychotic symptoms that typically adversely affect face-to-face conversations (Docherty et al. 1996 ). Online social interactions may not require the use of non-verbal cues, particularly in the initial stages of interaction (Kiesler et al. 1984 ), with interactions being more fluid and within the control of users, thereby overcoming possible social anxieties linked to in-person interaction (Indian and Grieve 2014 ). Furthermore, many individuals with serious mental disorders can experience symptoms including passive social withdrawal, blunted affect, and attentional impairment, as well as active social avoidance due to hallucinations or other concerns (Hansen et al. 2009 ), thus potentially reinforcing the relative advantage, as perceived by users, of using social media over in person conversations.

Access to a Peer Support Network

There is growing recognition about the role that social media channels could play in enabling peer support (Bucci et al. 2019 ; Naslund et al. 2016b ), referred to as a system of mutual giving and receiving where individuals who have endured the difficulties of mental illness can offer hope, friendship, and support to others facing similar challenges (Davidson et al. 2006 ; Mead et al. 2001 ). Initial studies exploring use of online self-help forums among individuals with serious mental illnesses have found that individuals with schizophrenia appeared to use these forums for self-disclosure and sharing personal experiences, in addition to providing or requesting information, describing symptoms, or discussing medication (Haker et al. 2005 ), while users with bipolar disorder reported using these forums to ask for help from others about their illness (Vayreda and Antaki 2009 ). More recently, in a review of online social networking in people with psychosis, Highton-Williamson et al. ( 2015 ) highlight that an important purpose of such online connections was to establish new friendships, pursue romantic relationships, maintain existing relationships or reconnect with people, and seek online peer support from others with lived experience (Highton-Williamson et al. 2015 ).

Online peer support among individuals with mental illness has been further elaborated in various studies. In a content analysis of comments posted to YouTube by individuals who self-identified as having a serious mental illness, there appeared to be opportunities to feel less alone, provide hope, find support and learn through mutual reciprocity, and share coping strategies for day-to-day challenges of living with a mental illness (Naslund et al. 2014 ). In another study, Chang ( 2009 ) delineated various communication patterns in an online psychosis peer-support group (Chang 2009 ). Specifically, different forms of support emerged, including “informational support” about medication use or contacting mental health providers, “esteem support” involving positive comments for encouragement, “network support” for sharing similar experiences, and “emotional support” to express understanding of a peer’s situation and offer hope or confidence (Chang 2009 ). Bauer et al. ( 2013 ) reported that the main interest in online self-help forums for patients with bipolar disorder was to share emotions with others, allow exchange of information, and benefit by being part of an online social group (Bauer et al. 2013 ).

For individuals who openly discuss mental health problems on Twitter, a study by Berry et al. ( 2017 ) found that this served as an important opportunity to seek support and to hear about the experiences of others (Berry et al. 2017 ). In a survey of social media users with mental illness, respondents reported that sharing personal experiences about living with mental illness and opportunities to learn about strategies for coping with mental illness from others were important reasons for using social media (Naslund et al. 2017 ). A computational study of mental health awareness campaigns on Twitter provides further support with inspirational posts and tips being the most shared (Saha et al. 2019 ). Taken together, these studies offer insights about the potential for social media to facilitate access to an informal peer support network, though more research is necessary to examine how these online interactions may impact intentions to seek care, illness self-management, and clinically meaningful outcomes in offline contexts.

Promote Engagement and Retention in Services

Many individuals living with mental disorders have expressed interest in using social media platforms for seeking mental health information (Lal et al. 2018 ), connecting with mental health providers (Birnbaum et al. 2017b ), and accessing evidence-based mental health services delivered over social media specifically for coping with mental health symptoms or for promoting overall health and wellbeing (Naslund et al. 2017 ). With the widespread use of social media among individuals living with mental illness combined with the potential to facilitate social interaction and connect with supportive peers, as summarized above, it may be possible to leverage the popular features of social media to enhance existing mental health programs and services. A recent review by Biagianti et al. ( 2018 ) found that peer-to-peer support appeared to offer feasible and acceptable ways to augment digital mental health interventions for individuals with psychotic disorders by specifically improving engagement, compliance, and adherence to the interventions and may also improve perceived social support (Biagianti et al. 2018 ).

Among digital programs that have incorporated peer-to-peer social networking consistent with popular features on social media platforms, a pilot study of the HORYZONS online psychosocial intervention demonstrated significant reductions in depression among patients with first episode psychosis (Alvarez-Jimenez et al. 2013 ). Importantly, the majority of participants (95%) in this study engaged with the peer-to-peer networking feature of the program, with many reporting increases in perceived social connectedness and empowerment in their recovery process (Alvarez-Jimenez et al. 2013 ). This moderated online social therapy program is now being evaluated as part of a large randomized controlled trial for maintaining treatment effects from first episode psychosis services (Alvarez-Jimenez et al. 2019 ).

Other early efforts have demonstrated that use of digital environments with the interactive peer-to-peer features of social media can enhance social functioning and wellbeing in young people at high risk of psychosis (Alvarez-Jimenez et al. 2018 ). There has also been a recent emergence of several mobile apps to support symptom monitoring and relapse prevention in psychotic disorders. Among these apps, the development of PRIME (Personalized Real-time Intervention for Motivational Enhancement) has involved working closely with young people with schizophrenia to ensure that the design of the app has the look and feel of mainstream social media platforms, as opposed to existing clinical tools (Schlosser et al. 2016 ). This unique approach to the design of the app is aimed at promoting engagement and ensuring that the app can effectively improve motivation and functioning through goal setting and promoting better quality of life of users with schizophrenia (Schlosser et al. 2018 ).

Social media platforms could also be used to promote engagement and participation in in-person services delivered through community mental health settings. For example, the peer-based lifestyle intervention called PeerFIT targets weight loss and improved fitness among individuals living with serious mental illness through a combination of in-person lifestyle classes, exercise groups, and use of digital technologies (Aschbrenner et al. 2016b , c ). The intervention holds tremendous promise as lack of support is one of the largest barriers towards exercise in patients with serious mental illness (Firth et al. 2016 ), and it is now possible to use social media to counter such. Specifically, in PeerFIT, a private Facebook group is closely integrated into the program to offer a closed platform where participants can connect with the lifestyle coaches, access intervention content, and support or encourage each other as they work towards their lifestyle goals (Aschbrenner et al. 2016a ; Naslund et al. 2016a ). To date, this program has demonstrated preliminary effectiveness for meaningfully reducing cardiovascular risk factors that contribute to early mortality in this patient group (Aschbrenner, Naslund, Shevenell, Kinney, et al., 2016), while the Facebook component appears to have increased engagement in the program, while allowing participants who were unable to attend in-person sessions due to other health concerns or competing demands to remain connected with the program (Naslund et al. 2018 ). This lifestyle intervention is currently being evaluated in a randomized controlled trial enrolling young adults with serious mental illness from real world community mental health services settings (Aschbrenner et al. 2018a ).

These examples highlight the promise of incorporating the features of popular social media into existing programs, which may offer opportunities to safely promote engagement and program retention, while achieving improved clinical outcomes. This is an emerging area of research, as evidenced by several important effectiveness trials underway (Alvarez-Jimenez et al. 2019 ; Aschbrenner et al. 2018a ), including efforts to leverage online social networking to support family caregivers of individuals receiving first episode psychosis services (Gleeson et al. 2017 ).

Challenges with Social Media for Mental Health

The science on the role of social media for engaging persons with mental disorders needs a cautionary note on the effects of social media usage on mental health and wellbeing, particularly in adolescents and young adults. While the risks and harms of social media are frequently covered in the popular press and mainstream news reports, careful consideration of the research in this area is necessary. In a review of 43 studies in young people, many benefits of social media were cited, including increased self-esteem and opportunities for self-disclosure (Best et al. 2014 ). Yet, reported negative effects were an increased exposure to harm, social isolation, depressive symptoms, and bullying (Best et al. 2014 ). In the sections that follow (see Table 1 for a summary), we consider three major categories of risk related to use of social media and mental health. These include: (1) Impact on symptoms; (2) Facing hostile interactions; and (3) Consequences for daily life.

Impact on Symptoms

Studies consistently highlight that use of social media, especially heavy use and prolonged time spent on social media platforms, appears to contribute to increased risk for a variety of mental health symptoms and poor wellbeing, especially among young people (Andreassen et al. 2016 ; Kross et al. 2013 ; Woods and Scott 2016 ). This may partly be driven by the detrimental effects of screen time on mental health, including increased severity of anxiety and depressive symptoms, which have been well documented (Stiglic and Viner 2019 ). Recent studies have reported negative effects of social media use on mental health of young people, including social comparison pressure with others and greater feeling of social isolation after being rejected by others on social media (Rideout and Fox 2018 ). In a study of young adults, it was found that negative comparisons with others on Facebook contributed to risk of rumination and subsequent increases in depression symptoms (Feinstein et al. 2013 ). Still, the cross-sectional nature of many screen time and mental health studies makes it challenging to reach causal inferences (Orben and Przybylski 2019 ).

Quantity of social media use is also an important factor, as highlighted in a survey of young adults ages 19 to 32, where more frequent visits to social media platforms each week were correlated with greater depressive symptoms (Lin et al. 2016 ). More time spent using social media is also associated with greater symptoms of anxiety (Vannucci et al. 2017 ). The actual number of platforms accessed also appears to contribute to risk as reflected in another national survey of young adults where use of a large number of social media platforms was associated with negative impact on mental health (Primack et al. 2017 ). Among survey respondents using between 7 and 11 different social media platforms compared with respondents using only 2 or fewer platforms, there were 3 times greater odds of having high levels of depressive symptoms and a 3.2 times greater odds of having high levels of anxiety symptoms (Primack et al. 2017 ).

Many researchers have postulated that worsening mental health attributed to social media use may be because social media replaces face-to-face interactions for young people (Twenge and Campbell 2018 ) and may contribute to greater loneliness (Bucci et al. 2019 ) and negative effects on other aspects of health and wellbeing (Woods and Scott 2016 ). One nationally representative survey of US adolescents found that among respondents who reported more time accessing media such as social media platforms or smartphone devices, there were significantly greater depressive symptoms and increased risk of suicide when compared with adolescents who reported spending more time on non-screen activities, such as in-person social interaction or sports and recreation activities (Twenge et al. 2018 ). For individuals living with more severe mental illnesses, the effects of social media on psychiatric symptoms have received less attention. One study found that participation in chat rooms may contribute to worsening symptoms in young people with psychotic disorders (Mittal et al. 2007 ), while another study of patients with psychosis found that social media use appeared to predict low mood (Berry et al. 2018 ). These studies highlight a clear relationship between social media use and mental health that may not be present in general population studies (Orben and Przybylski 2019 ) and emphasize the need to explore how social media may contribute to symptom severity and whether protective factors may be identified to mitigate these risks.

Facing Hostile Interactions

Popular social media platforms can create potential situations where individuals may be victimized by negative comments or posts. Cyberbullying represents a form of online aggression directed towards specific individuals, such as peers or acquaintances, which is perceived to be most harmful when compared with random hostile comments posted online (Hamm et al. 2015 ). Importantly, cyberbullying on social media consistently shows harmful impact on mental health in the form of increased depressive symptoms as well as worsening of anxiety symptoms, as evidenced in a review of 36 studies among children and young people (Hamm et al. 2015 ). Furthermore, cyberbullying disproportionately impacts females as reflected in a national survey of adolescents in the USA, where females were twice as likely to be victims of cyberbullying compared with males (Alhajji et al. 2019 ). Most studies report cross-sectional associations between cyberbullying and symptoms of depression or anxiety (Hamm et al. 2015 ), though one longitudinal study in Switzerland found that cyberbullying contributed to significantly greater depression over time (Machmutow et al. 2012 ).

For youth ages 10 to 17 who reported major depressive symptomatology, there were over 3 times greater odds of facing online harassment in the last year compared with youth who reported mild or no depressive symptoms (Ybarra 2004 ). Similarly, in a 2018 national survey of young people, respondents ages 14 to 22 with moderate to severe depressive symptoms were more likely to have had negative experiences when using social media and, in particular, were more likely to report having faced hostile comments or being “trolled” from others when compared with respondents without depressive symptoms (31% vs. 14%) (Rideout and Fox 2018 ). As these studies depict risks for victimization on social media and the correlation with poor mental health, it is possible that individuals living with mental illness may also experience greater hostility online compared to individuals without mental illness. This would be consistent with research showing greater risk of hostility, including increased violence and discrimination, directed towards individuals living with mental illness in in-person contexts, especially targeted at those with severe mental illnesses (Goodman et al. 1999 ).

A computational study of mental health awareness campaigns on Twitter reported that while stigmatizing content was rare, it was actually the most spread (re-tweeted) demonstrating that harmful content can travel quickly on social media (Saha et al. 2019 ). Another study was able to map the spread of social media posts about the Blue Whale Challenge, an alleged game promoting suicide, over Twitter, YouTube, Reddit, Tumblr, and other forums across 127 countries (Sumner et al. 2019 ). These findings show that it is critical to monitor the actual content of social media posts, such as determining whether content is hostile or promotes harm to self or others. This is pertinent because existing research looking at duration of exposure cannot account for the impact of specific types of content on mental health and is insufficient to fully understand the effects of using these platforms on mental health.

Consequences for Daily Life

The ways in which individuals use social media can also impact their offline relationships and everyday activities. To date, reports have described risks of social media use pertaining to privacy, confidentiality, and unintended consequences of disclosing personal health information online (Torous and Keshavan 2016 ). Additionally, concerns have been raised about poor quality or misleading health information shared on social media and that social media users may not be aware of misleading information or conflicts of interest especially when the platforms promote popular content regardless of whether it is from a trustworthy source (Moorhead et al. 2013 ; Ventola 2014 ). For persons living with mental illness, there may be additional risks from using social media. A recent study that specifically explored the perspectives of social media users with serious mental illnesses, including participants with schizophrenia spectrum disorders, bipolar disorder, or major depression, found that over one third of participants expressed concerns about privacy when using social media (Naslund and Aschbrenner 2019 ). The reported risks of social media use were directly related to many aspects of everyday life, including concerns about threats to employment, fear of stigma and being judged, impact on personal relationships, and facing hostility or being hurt (Naslund and Aschbrenner 2019 ). While few studies have specifically explored the dangers of social media use from the perspectives of individuals living with mental illness, it is important to recognize that use of these platforms may contribute to risks that extend beyond worsening symptoms and that can affect different aspects of daily life.

In this commentary, we considered ways in which social media may yield benefits for individuals living with mental illness, while contrasting these with the possible harms. Studies reporting on the threats of social media for individuals with mental illness are mostly cross-sectional, making it difficult to draw conclusions about direction of causation. However, the risks are potentially serious. These risks should be carefully considered in discussions pertaining to use of social media and the broader use of digital mental health technologies, as avenues for mental health promotion or for supporting access to evidence-based programs or mental health services. At this point, it would be premature to view the benefits of social media as outweighing the possible harms, when it is clear from the studies summarized here that social media use can have negative effects on mental health symptoms, can potentially expose individuals to hurtful content and hostile interactions, and can result in serious consequences for daily life, including threats to employment and personal relationships. Despite these risks, it is also necessary to recognize that individuals with mental illness will continue to use social media given the ease of accessing these platforms and the immense popularity of online social networking. With this in mind, it may be ideal to raise awareness about these possible risks so that individuals can implement necessary safeguards, while highlighting that there could also be benefits. Being aware of the risks is an essential first step, before then recognizing that use of these popular platforms could contribute to some benefits like finding meaningful interactions with others, engaging with peer support networks, and accessing information and services.

To capitalize on the widespread use of social media and to achieve the promise that these platforms may hold for supporting the delivery of targeted mental health interventions, there is need for continued research to better understand how individuals living with mental illness use social media. Such efforts could inform safety measures and also encourage use of social media in ways that maximize potential benefits while minimizing risk of harm. It will be important to recognize how gender and race contribute to differences in use of social media for seeking mental health information or accessing interventions, as well as differences in how social media might impact mental wellbeing. For example, a national survey of 14- to 22-year olds in the USA found that female respondents were more likely to search online for information about depression or anxiety and to try to connect with other people online who share similar mental health concerns when compared with male respondents (Rideout and Fox 2018 ). In the same survey, there did not appear to be any differences between racial or ethnic groups in social media use for seeking mental health information (Rideout and Fox 2018 ). Social media use also appears to have a differential impact on mental health and emotional wellbeing between females and males (Booker et al. 2018 ), highlighting the need to explore unique experiences between gender groups to inform tailored programs and services. Research shows that lesbian, gay, bisexual, or transgender individuals frequently use social media for searching for health information and may be more likely compared with heterosexual individuals to share their own personal health experiences with others online (Rideout and Fox 2018 ). Less is known about use of social media for seeking support for mental health concerns among gender minorities, though this is an important area for further investigation as these individuals are more likely to experience mental health problems and online victimization when compared with heterosexual individuals (Mereish et al. 2019 ).

Similarly, efforts are needed to explore the relationship between social media use and mental health among ethnic and racial minorities. A recent study found that exposure to traumatic online content on social media showing violence or hateful posts directed at racial minorities contributed to increases in psychological distress, PTSD symptoms, and depression among African American and Latinx adolescents in the USA (Tynes et al. 2019 ). These concerns are contrasted by growing interest in the potential for new technologies including social media to expand the reach of services to underrepresented minority groups (Schueller et al. 2019 ). Therefore, greater attention is needed to understanding the perspectives of ethnic and racial minorities to inform effective and safe use of social media for mental health promotion efforts.

Research has found that individuals living with mental illness have expressed interest in accessing mental health services through social media platforms. A survey of social media users with mental illness found that most respondents were interested in accessing programs for mental health on social media targeting symptom management, health promotion, and support for communicating with health care providers and interacting with the health system (Naslund et al. 2017 ). Importantly, individuals with serious mental illness have also emphasized that any mental health intervention on social media would need to be moderated by someone with adequate training and credentials, would need to have ground rules and ways to promote safety and minimize risks, and importantly, would need to be free and easy to access.

An important strength with this commentary is that it combines a range of studies broadly covering the topic of social media and mental health. We have provided a summary of recent evidence in a rapidly advancing field with the goal of presenting unique ways that social media could offer benefits for individuals with mental illness, while also acknowledging the potentially serious risks and the need for further investigation. There are also several limitations with this commentary that warrant consideration. Importantly, as we aimed to address this broad objective, we did not conduct a systematic review of the literature. Therefore, the studies reported here are not exhaustive, and there may be additional relevant studies that were not included. Additionally, we only summarized published studies, and as a result, any reports from the private sector or websites from different organizations using social media or other apps containing social media–like features would have been omitted. Although, it is difficult to rigorously summarize work from the private sector, sometimes referred to as “gray literature,” because many of these projects are unpublished and are likely selective in their reporting of findings given the target audience may be shareholders or consumers.

Another notable limitation is that we did not assess risk of bias in the studies summarized in this commentary. We found many studies that highlighted risks associated with social media use for individuals living with mental illness; however, few studies of programs or interventions reported negative findings, suggesting the possibility that negative findings may go unpublished. This concern highlights the need for a future more rigorous review of the literature with careful consideration of bias and an accompanying quality assessment. Most of the studies that we described were from the USA, as well as from other higher income settings such as Australia or the UK. Despite the global reach of social media platforms, there is a dearth of research on the impact of these platforms on the mental health of individuals in diverse settings, as well as the ways in which social media could support mental health services in lower income countries where there is virtually no access to mental health providers. Future research is necessary to explore the opportunities and risks for social media to support mental health promotion in low-income and middle-income countries, especially as these countries face a disproportionate share of the global burden of mental disorders, yet account for the majority of social media users worldwide (Naslund et al. 2019 ).

Future Directions for Social Media and Mental Health

As we consider future research directions, the near ubiquitous social media use also yields new opportunities to study the onset and manifestation of mental health symptoms and illness severity earlier than traditional clinical assessments. There is an emerging field of research referred to as “digital phenotyping” aimed at capturing how individuals interact with their digital devices, including social media platforms, in order to study patterns of illness and identify optimal time points for intervention (Jain et al. 2015 ; Onnela and Rauch 2016 ). Given that most people access social media via mobile devices, digital phenotyping and social media are closely related (Torous et al. 2019 ). To date, the emergence of machine learning, a powerful computational method involving statistical and mathematical algorithms (Shatte et al. 2019 ), has made it possible to study large quantities of data captured from popular social media platforms such as Twitter or Instagram to illuminate various features of mental health (Manikonda and De Choudhury 2017 ; Reece et al. 2017 ). Specifically, conversations on Twitter have been analyzed to characterize the onset of depression (De Choudhury et al. 2013 ) as well as detecting users’ mood and affective states (De Choudhury et al. 2012 ), while photos posted to Instagram can yield insights for predicting depression (Reece and Danforth 2017 ). The intersection of social media and digital phenotyping will likely add new levels of context to social media use in the near future.

Several studies have also demonstrated that when compared with a control group, Twitter users with a self-disclosed diagnosis of schizophrenia show unique online communication patterns (Birnbaum et al. 2017a ), including more frequent discussion of tobacco use (Hswen et al. 2017 ), symptoms of depression and anxiety (Hswen et al. 2018b ), and suicide (Hswen et al. 2018a ). Another study found that online disclosures about mental illness appeared beneficial as reflected by fewer posts about symptoms following self-disclosure (Ernala et al. 2017 ). Each of these examples offers early insights into the potential to leverage widely available online data for better understanding the onset and course of mental illness. It is possible that social media data could be used to supplement additional digital data, such as continuous monitoring using smartphone apps or smart watches, to generate a more comprehensive “digital phenotype” to predict relapse and identify high-risk health behaviors among individuals living with mental illness (Torous et al. 2019 ).

With research increasingly showing the valuable insights that social media data can yield about mental health states, greater attention to the ethical concerns with using individual data in this way is necessary (Chancellor et al. 2019 ). For instance, data is typically captured from social media platforms without the consent or awareness of users (Bidargaddi et al. 2017 ), which is especially crucial when the data relates to a socially stigmatizing health condition such as mental illness (Guntuku et al. 2017 ). Precautions are needed to ensure that data is not made identifiable in ways that were not originally intended by the user who posted the content as this could place an individual at risk of harm or divulge sensitive health information (Webb et al. 2017 ; Williams et al. 2017 ). Promising approaches for minimizing these risks include supporting the participation of individuals with expertise in privacy, clinicians, and the target individuals with mental illness throughout the collection of data, development of predictive algorithms, and interpretation of findings (Chancellor et al. 2019 ).

In recognizing that many individuals living with mental illness use social media to search for information about their mental health, it is possible that they may also want to ask their clinicians about what they find online to check if the information is reliable and trustworthy. Alternatively, many individuals may feel embarrassed or reluctant to talk to their clinicians about using social media to find mental health information out of concerns of being judged or dismissed. Therefore, mental health clinicians may be ideally positioned to talk with their patients about using social media and offer recommendations to promote safe use of these sites while also respecting their patients’ autonomy and personal motivations for using these popular platforms. Given the gap in clinical knowledge about the impact of social media on mental health, clinicians should be aware of the many potential risks so that they can inform their patients while remaining open to the possibility that their patients may also experience benefits through use of these platforms. As awareness of these risks grows, it may be possible that new protections will be put in place by industry or through new policies that will make the social media environment safer. It is hard to estimate a number needed to treat or harm today given the nascent state of research, which means the patient and clinician need to weigh the choice on a personal level. Thus, offering education and information is an important first step in that process. As patients increasingly show interest in accessing mental health information or services through social media, it will be necessary for health systems to recognize social media as a potential avenue for reaching or offering support to patients. This aligns with growing emphasis on the need for greater integration of digital psychiatry, including apps, smartphones, or wearable devices, into patient care and clinical services through institution-wide initiatives and training clinical providers (Hilty et al. 2019 ). Within a learning healthcare environment where research and care are tightly intertwined and feedback between both is rapid, the integration of digital technologies into services may create new opportunities for advancing use of social media for mental health.

As highlighted in this commentary, social media has become an important part of the lives of many individuals living with mental disorders. Many of these individuals use social media to share their lived experiences with mental illness, to seek support from others, and to search for information about treatment recommendations, accessing mental health services and coping with symptoms (Bucci et al. 2019 ; Highton-Williamson et al. 2015 ; Naslund et al. 2016b ). As the field of digital mental health advances, the wide reach, ease of access, and popularity of social media platforms could be used to allow individuals in need of mental health services or facing challenges of mental illness to access evidence-based treatment and support. To achieve this end and to explore whether social media platforms can advance efforts to close the gap in available mental health services in the USA and globally, it will be essential for researchers to work closely with clinicians and with those affected by mental illness to ensure that possible benefits of using social media are carefully weighed against anticipated risks.

Abdel-Baki, A., Lal, S., Charron, D.-C., Stip, E., & Kara, N. (2017). Understanding access and use of technology among youth with first-episode psychosis to inform the development of technology-enabled therapeutic interventions. Early Intervention in Psychiatry, 11 (1), 72–76.

PubMed   Google Scholar  

Ahmed, Y. A., Ahmad, M. N., Ahmad, N., & Zakaria, N. H. (2019). Social media for knowledge-sharing: a systematic literature review. Telematics and Informatics, 37 , 72–112.

Google Scholar  

Alhajji, M., Bass, S., & Dai, T. (2019). Cyberbullying, mental health, and violence in adolescents and associations with sex and race: data from the 2015 youth risk behavior survey. Global Pediatric Health, 6 , 2333794X19868887.

PubMed   PubMed Central   Google Scholar  

Alvarez-Jimenez, M., Bendall, S., Lederman, R., Wadley, G., Chinnery, G., Vargas, S., Larkin, M., Killackey, E., McGorry, P., & Gleeson, J. F. (2013). On the HORYZON: moderated online social therapy for long-term recovery in first episode psychosis. Schizophrenia Research, 143 (1), 143–149.

Alvarez-Jimenez, M., Gleeson, J., Bendall, S., Penn, D., Yung, A., Ryan, R., et al. (2018). Enhancing social functioning in young people at ultra high risk (UHR) for psychosis: a pilot study of a novel strengths and mindfulness-based online social therapy. Schizophrenia Research, 202 , 369–377.

Alvarez-Jimenez, M., Bendall, S., Koval, P., Rice, S., Cagliarini, D., Valentine, L., et al. (2019). HORYZONS trial: protocol for a randomised controlled trial of a moderated online social therapy to maintain treatment effects from first-episode psychosis services. BMJ Open, 9 (2), e024104.

Andreassen, C. S., Billieux, J., Griffiths, M. D., Kuss, D. J., Demetrovics, Z., Mazzoni, E., & Pallesen, S. (2016). The relationship between addictive use of social media and video games and symptoms of psychiatric disorders: a large-scale cross-sectional study. Psychology of Addictive Behaviors, 30 (2), 252.

Aschbrenner, K. A., Naslund, J. A., & Bartels, S. J. (2016a). A mixed methods study of peer-to-peer support in a group-based lifestyle intervention for adults with serious mental illness. Psychiatric Rehabilitation Journal, 39 (4), 328–334.

Aschbrenner, K. A., Naslund, J. A., Shevenell, M., Kinney, E., & Bartels, S. J. (2016b). A pilot study of a peer-group lifestyle intervention enhanced with mHealth technology and social media for adults with serious mental illness. The Journal of Nervous and Mental Disease, 204 (6), 483–486.

Aschbrenner, K. A., Naslund, J. A., Shevenell, M., Mueser, K. T., & Bartels, S. J. (2016c). Feasibility of behavioral weight loss treatment enhanced with peer support and mobile health technology for individuals with serious mental illness. Psychiatric Quarterly, 87 (3), 401–415.

Aschbrenner, K. A., Naslund, J. A., Gorin, A. A., Mueser, K. T., Scherer, E. A., Viron, M., et al. (2018a). Peer support and mobile health technology targeting obesity-related cardiovascular risk in young adults with serious mental illness: protocol for a randomized controlled trial. Contemporary Clinical Trials, 74 , 97–106.

Aschbrenner, K. A., Naslund, J. A., Grinley, T., Bienvenida, J. C. M., Bartels, S. J., & Brunette, M. (2018b). A survey of online and mobile technology use at peer support agencies. Psychiatric Quarterly , 1–10.

Aschbrenner, K. A., Naslund, J. A., Tomlinson, E. F., Kinney, A., Pratt, S. I., & Brunette, M. F. (2019). Adolescents’ use of digital technologies and preferences for mobile health coaching in mental health settings. Frontiers in Public Health. 7 , 178.

Badcock, J. C., Shah, S., Mackinnon, A., Stain, H. J., Galletly, C., Jablensky, A., & Morgan, V. A. (2015). Loneliness in psychotic disorders and its association with cognitive function and symptom profile. Schizophrenia Research, 169 (1–3), 268–273.

Batterham, P. J., & Calear, A. J. (2017). Preferences for internet-based mental health interventions in an adult online sample: findings from ann online community survey. JMIR Mental Health, 4 (2), e26.

Bauer, R., Bauer, M., Spiessl, H., & Kagerbauer, T. (2013). Cyber-support: an analysis of online self-help forums (online self-help forums in bipolar disorder). Nordic Journal of Psychiatry, 67 (3), 185–190.

Berger, M., Wagner, T. H., & Baker, L. C. (2005). Internet use and stigmatized illness. Social Science & Medicine, 61 (8), 1821–1827.

Berry, N., Lobban, F., Belousov, M., Emsley, R., Nenadic, G., & Bucci, S. (2017). # WhyWeTweetMH: understanding why people use Twitter to discuss mental health problems. Journal of Medical Internet Research, 19 (4), e107.

Berry, N., Emsley, R., Lobban, F., & Bucci, S. (2018). Social media and its relationship with mood, self-esteem and paranoia in psychosis. Acta Psychiatrica Scandinavica, 138 , 558–570.

Best, P., Manktelow, R., & Taylor, B. (2014). Online communication, social media and adolescent wellbeing: a systematic narrative review. Children and Youth Services Review, 41 , 27–36.

Biagianti, B., Quraishi, S. H., & Schlosser, D. A. (2018). Potential benefits of incorporating peer-to-peer interactions into digital interventions for psychotic disorders: a systematic review. Psychiatric Services, 69 (4), 377–388.

Bidargaddi, N., Musiat, P., Makinen, V.-P., Ermes, M., Schrader, G., & Licinio, J. (2017). Digital footprints: facilitating large-scale environmental psychiatric research in naturalistic settings through data from everyday technologies. Molecular Psychiatry, 22 (2), 164.

Birnbaum, M. L., Ernala, S. K., Rizvi, A. F., De Choudhury, M., & Kane, J. M. (2017a). A collaborative approach to identifying social media markers of schizophrenia by employing machine learning and clinical appraisals. Journal of Medical Internet Research, 19 (8), e289.

Birnbaum, M. L., Rizvi, A. F., Correll, C. U., Kane, J. M., & Confino, J. (2017b). Role of social media and the Internet in pathways to care for adolescents and young adults with psychotic disorders and non-psychotic mood disorders. Early Intervention in Psychiatry, 11 (4), 290–295.

Booker, C. L., Kelly, Y. J., & Sacker, A. (2018). Gender differences in the associations between age trends of social media interaction and well-being among 10-15 year olds in the UK. BMC Public Health, 18 (1), 321.

Brunette, M., Achtyes, E., Pratt, S., Stilwell, K., Opperman, M., Guarino, S., & Kay-Lambkin, F. (2019). Use of smartphones, computers and social media among people with SMI: opportunity for intervention. Community Mental Health Journal , 1–6.

Brusilovskiy, E., Townley, G., Snethen, G., & Salzer, M. S. (2016). Social media use, community participation and psychological well-being among individuals with serious mental illnesses. Computers in Human Behavior, 65 , 232–240.

Bucci, S., Schwannauer, M., & Berry, N. (2019). The digital revolution and its impact on mental health care. Psychology and Psychotherapy: Theory, Research and Practice, 92 (2), 277–297.

Chancellor, S., Birnbaum, M. L., Caine, E. D., Silenzio, V. M., & De Choudhury, M. (2019). A taxonomy of ethical tensions in inferring mental health states from social media. In Proceedings of the Conference on Fairness, Accountability, and Transparency, 79–88.

Chang, H. J. (2009). Online supportive interactions: using a network approach to examine communication patterns within a psychosis social support group in Taiwan. Journal of the American Society for Information Science and Technology, 60 (7), 1504–1517.

Davidson, L., Chinman, M., Sells, D., & Rowe, M. (2006). Peer support among adults with serious mental illness: a report from the field. Schizophrenia Bulletin, 32 (3), 443–450.

De Choudhury, M., Gamon, M., & Counts, S. (2012). Happy, nervous or surprised? classification of human affective states in social media. Paper presented at the sixth international Association for Advancement of Artificial Intelligence (AAAI) Conference on Weblogs and Social Meedia, 435–438.

De Choudhury, M., Gamon, M., Counts, S., & Horvitz, E. (2013). Predicting depression via social media. Paper presented at the seventh international Association for Advancement of Artificial Intelligence (AAAI) Conference on Weblogs and Social Media, 128–137.

Docherty, N. M., Hawkins, K. A., Hoffman, R. E., Quinlan, D. M., Rakfeldt, J., & Sledge, W. H. (1996). Working memory, attention, and communication disturbances in schizophrenia. Journal of Abnormal Psychology, 105 (2), 212–219.

Ernala, S. K., Rizvi, A. F., Birnbaum, M. L., Kane, J. M., & De Choudhury, M. (2017). Linguistic markers indicating therapeutic outcomes of social media disclosures of schizophrenia. Proceedings of the ACM on Human-Computer Interaction, 1 (1), 43.

Feinstein, B. A., Hershenberg, R., Bhatia, V., Latack, J. A., Meuwly, N., & Davila, J. (2013). Negative social comparison on Facebook and depressive symptoms: rumination as a mechanism. Psychology of Popular Media Culture, 2 (3), 161.

Firth, J., Cotter, J., Torous, J., Bucci, S., Firth, J. A., & Yung, A. R. (2015). Mobile phone ownership and endorsement of “mHealth” among people with psychosis: a meta-analysis of cross-sectional studies. Schizophrenia Bulletin, 42 (2), 448–455.

Firth, J., Rosenbaum, S., Stubbs, B., Gorczynski, P., Yung, A. R., & Vancampfort, D. (2016). Motivating factors and barriers towards exercise in severe mental illness: a systematic review and meta-analysis. Psychological Medicine, 46 (14), 2869–2881.

Gay, K., Torous, J., Joseph, A., Pandya, A., & Duckworth, K. (2016). Digital technology use among individuals with schizophrenia: results of an online survey. JMIR Mental Health, 3 (2), e15.

Giacco, D., Palumbo, C., Strappelli, N., Catapano, F., & Priebe, S. (2016). Social contacts and loneliness in people with psychotic and mood disorders. Comprehensive Psychiatry, 66 , 59–66.

Gleeson, J., Lederman, R., Herrman, H., Koval, P., Eleftheriadis, D., Bendall, S., Cotton, S. M., & Alvarez-Jimenez, M. (2017). Moderated online social therapy for carers of young people recovering from first-episode psychosis: study protocol for a randomised controlled trial. Trials, 18 (1), 27.

Glick, G., Druss, B., Pina, J., Lally, C., & Conde, M. (2016). Use of mobile technology in a community mental health setting. Journal of Telemedicine and Telecare, 22 (7), 430–435.

Goodman, L. A., Thompson, K. M., Weinfurt, K., Corl, S., Acker, P., Mueser, K. T., & Rosenberg, S. D. (1999). Reliability of reports of violent victimization and posttraumatic stress disorder among men and women with serious mental illness. Journal of Traumatic Stress: Official Publication of the International Society for Traumatic Stress Studies, 12 (4), 587–599.

Gowen, K., Deschaine, M., Gruttadara, D., & Markey, D. (2012). Young adults with mental health conditions and social networking websites: seeking tools to build community. Psychiatric Rehabilitation Journal, 35 (3), 245–250.

Guntuku, S. C., Yaden, D. B., Kern, M. L., Ungar, L. H., & Eichstaedt, J. C. (2017). Detecting depression and mental illness on social media: an integrative review. Current Opinion in Behavioral Sciences, 18 , 43–49.

Haker, H., Lauber, C., & Rössler, W. (2005). Internet forums: a self-help approach for individuals with schizophrenia? Acta Psychiatrica Scandinavica, 112 (6), 474–477.

Hamm, M. P., Newton, A. S., Chisholm, A., Shulhan, J., Milne, A., Sundar, P., Ennis, H., Scott, S. D., & Hartling, L. (2015). Prevalence and effect of cyberbullying on children and young people: a scoping review of social media studies. JAMA Pediatrics, 169 (8), 770–777.

Hansen, C. F., Torgalsbøen, A.-K., Melle, I., & Bell, M. D. (2009). Passive/apathetic social withdrawal and active social avoidance in schizophrenia: difference in underlying psychological processes. The Journal of Nervous and Mental Disease, 197 (4), 274–277.

Highton-Williamson, E., Priebe, S., & Giacco, D. (2015). Online social networking in people with psychosis: a systematic review. International Journal of Social Psychiatry, 61 (1), 92–101.

Hilty, D. M., Chan, S., Torous, J., Luo, J., & Boland, R. J. (2019). Mobile health, smartphone/device, and apps for psychiatry and medicine: competencies, training, and faculty development issues. Psychiatric Clinics, 42 (3), 513–534.

Hswen, Y., Naslund, J. A., Chandrashekar, P., Siegel, R., Brownstein, J. S., & Hawkins, J. B. (2017). Exploring online communication about cigarette smoking among Twitter users who self-identify as having schizophrenia. Psychiatry Research, 257 , 479–484.

Hswen, Y., Naslund, J. A., Brownstein, J. S., & Hawkins, J. B. (2018a). Monitoring online discussions about suicide among Twitter users with schizophrenia: exploratory study. JMIR Mental Health, 5 (4), e11483.

Hswen, Y., Naslund, J. A., Brownstein, J. S., & Hawkins, J. B. (2018b). Online communication about depression and anxiety among twitter users with schizophrenia: preliminary findings to inform a digital phenotype using social media. Psychiatric Quarterly, 89 (3), 569–580.

Indian, M., & Grieve, R. (2014). When Facebook is easier than face-to-face: social support derived from Facebook in socially anxious individuals. Personality and Individual Differences, 59 , 102–106.

Jain, S. H., Powers, B. W., Hawkins, J. B., & Brownstein, J. S. (2015). The digital phenotype. Nature Biotechnology, 33 (5), 462–463.

Kiesler, S., Siegel, J., & McGuire, T. W. (1984). Social psychological aspects of computer-mediated communication. American Psychologist, 39 , 1123–1134.

Kross, E., Verduyn, P., Demiralp, E., Park, J., Lee, D. S., Lin, N., Shablack, H., Jonides, J., & Ybarra, O. (2013). Facebook use predicts declines in subjective well-being in young adults. PLoS One, 8 (8), e69841.

Lal, S., Nguyen, V., & Theriault, J. (2018). Seeking mental health information and support online: experiences and perspectives of young people receiving treatment for first-episode psychosis. Early Intervention in Psychiatry, 12 (3), 324–330.

Lin, L. Y., Sidani, J. E., Shensa, A., Radovic, A., Miller, E., Colditz, J. B., Hoffman, B. L., Giles, L. M., & Primack, B. A. (2016). Association between social media use and depression among US young adults. Depression and Anxiety, 33 (4), 323–331.

Machmutow, K., Perren, S., Sticca, F., & Alsaker, F. D. (2012). Peer victimisation and depressive symptoms: can specific coping strategies buffer the negative impact of cybervictimisation? Emotional and Behavioural Difficulties, 17 (3–4), 403–420.

Manikonda, L., & De Choudhury, M. (2017). Modeling and understanding visual attributes of mental health disclosures in social media. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 170–181.

Mead, S., Hilton, D., & Curtis, L. (2001). Peer support: a theoretical perspective. Psychiatric Rehabilitation Journal, 25 (2), 134–141.

Mereish, E. H., Sheskier, M., Hawthorne, D. J., & Goldbach, J. T. (2019). Sexual orientation disparities in mental health and substance use among Black American young people in the USA: effects of cyber and bias-based victimisation. Culture, Health & Sexuality, 21 (9), 985–998.

Miller, B. J., Stewart, A., Schrimsher, J., Peeples, D., & Buckley, P. F. (2015). How connected are people with schizophrenia? Cell phone, computer, email, and social media use. Psychiatry Research, 225 (3), 458–463.

Mittal, V. A., Tessner, K. D., & Walker, E. F. (2007). Elevated social Internet use and schizotypal personality disorder in adolescents. Schizophrenia Research, 94 (1–3), 50–57.

Moorhead, S. A., Hazlett, D. E., Harrison, L., Carroll, J. K., Irwin, A., & Hoving, C. (2013). A new dimension of health care: systematic review of the uses, benefits, and limitations of social media for health communication. Journal of Medical Internet Research, 15 (4), e85.

Naslund, J. A., & Aschbrenner, K. A. (2019). Risks to privacy with use of social media: understanding the views of social media users with serious mental illness. Psychiatric Services, 70 (7), 561–568.

Naslund, J. A., Grande, S. W., Aschbrenner, K. A., & Elwyn, G. (2014). Naturally occurring peer support through social media: the experiences of individuals with severe mental illness using YouTube. PLoS One, 9 (10), e110171.

Naslund, J. A., Aschbrenner, K. A., & Bartels, S. J. (2016). How people living with serious mental illness use smartphones, mobile apps, and social media. Psychiatric Rehabilitation Journal, 39 (4), 364–367.

Naslund, J. A., Aschbrenner, K. A., Marsch, L. A., & Bartels, S. J. (2016a). Feasibility and acceptability of Facebook for health promotion among people with serious mental illness. Digital Health, 2 , 2055207616654822.

PubMed Central   Google Scholar  

Naslund, J. A., Aschbrenner, K. A., Marsch, L. A., & Bartels, S. J. (2016b). The future of mental health care: peer-to-peer support and social media. Epidemiology and Psychiatric Sciences, 25 (2), 113–122.

Naslund, J. A., Aschbrenner, K. A., McHugo, G. J., Unützer, J., Marsch, L. A., & Bartels, S. J. (2019). Exploring opportunities to support mental health care using social media: A survey of social media users with mental illness. Early Intervention in Psychiatry, 13 (3), 405–413.

Naslund, J. A., Aschbrenner, K. A., Marsch, L. A., McHugo, G. J., & Bartels, S. J. (2018). Facebook for supporting a lifestyle intervention for people with major depressive disorder, bipolar disorder, and schizophrenia: an exploratory study. Psychiatric Quarterly, 89 (1), 81–94.

Naslund, J. A., Gonsalves, P. P., Gruebner, O., Pendse, S. R., Smith, S. L., Sharma, A., & Raviola, G. (2019). Digital innovations for global mental health: opportunities for data science, task sharing, and early intervention. Current Treatment Options in Psychiatry , 1–15.

Onnela, J.-P., & Rauch, S. L. (2016). Harnessing smartphone-based digital phenotyping to enhance behavioral and mental health. Neuropsychopharmacology, 41 (7), 1691–1696.

Orben, A., & Przybylski, A. K. (2019). The association between adolescent well-being and digital technology use. Nature Human Behaviour, 3 (2), 173–182.

Patel, V., Saxena, S., Lund, C., Thornicroft, G., Baingana, F., Bolton, P., et al. (2018). The Lancet Commission on global mental health and sustainable development. The Lancet, 392 (10157), 1553–1598.

Primack, B. A., Shensa, A., Escobar-Viera, C. G., Barrett, E. L., Sidani, J. E., Colditz, J. B., & James, A. E. (2017). Use of multiple social media platforms and symptoms of depression and anxiety: a nationally-representative study among US young adults. Computers in Human Behavior, 69 , 1–9.

Reece, A. G., & Danforth, C. M. (2017). Instagram photos reveal predictive markers of depression. EPJ Data Science, 6 (1), 15.

Reece, A. G., Reagan, A. J., Lix, K. L., Dodds, P. S., Danforth, C. M., & Langer, E. J. (2017). Forecasting the onset and course of mental illness with Twitter data. Scientific Reports, 7 (1), 13006.

Rideout, V., & Fox, S. (2018). Digital health practices, social media use, and mental well-being among teens and young adults in the U.S. Retrieved from San Francisco, CA: https://www.hopelab.org/reports/pdf/a-national-survey-by-hopelab-and-well-being-trust-2018.pdf . Accessed 10 Jan 2020.

Saha, K., Torous, J., Ernala, S. K., Rizuto, C., Stafford, A., & De Choudhury, M. (2019). A computational study of mental health awareness campaigns on social media. Translational behavioral medicine, 9 (6), 1197–1207.

Schlosser, D. A., Campellone, T., Kim, D., Truong, B., Vergani, S., Ward, C., & Vinogradov, S. (2016). Feasibility of PRIME: a cognitive neuroscience-informed mobile app intervention to enhance motivated behavior and improve quality of life in recent onset schizophrenia. JMIR Research Protocols, 5 (2).

Schlosser, D. A., Campellone, T. R., Truong, B., Etter, K., Vergani, S., Komaiko, K., & Vinogradov, S. (2018). Efficacy of PRIME, a mobile app intervention designed to improve motivation in young people with schizophrenia. Schizophrenia Bulletin, 44 (5), 1010–1020.

Schrank, B., Sibitz, I., Unger, A., & Amering, M. (2010). How patients with schizophrenia use the internet: qualitative study. Journal of Medical Internet Research, 12 (5), e70.

Schueller, S. M., Hunter, J. F., Figueroa, C., & Aguilera, A. (2019). Use of digital mental health for marginalized and underserved populations. Current Treatment Options in Psychiatry, 6 (3), 243–255.

Shatte, A. B., Hutchinson, D. M., & Teague, S. J. (2019). Machine learning in mental health: a scoping review of methods and applications. Psychological Medicine, 49 (9), 1426–1448.

Spinzy, Y., Nitzan, U., Becker, G., Bloch, Y., & Fennig, S. (2012). Does the Internet offer social opportunities for individuals with schizophrenia? A cross-sectional pilot study. Psychiatry Research, 198 (2), 319–320.

Stiglic, N., & Viner, R. M. (2019). Effects of screentime on the health and well-being of children and adolescents: a systematic review of reviews. BMJ Open, 9 (1), e023191.

Sumner, S. A., Galik, S., Mathieu, J., Ward, M., Kiley, T., Bartholow, B., et al. (2019). Temporal and geographic patterns of social media posts about an emerging suicide game. Journal of Adolescent Health, 65 (1), 94–100.

Torous, J., & Keshavan, M. (2016). The role of social media in schizophrenia: evaluating risks, benefits, and potential. Current Opinion in Psychiatry, 29 (3), 190–195.

Torous, J., Chan, S. R., Tan, S. Y.-M., Behrens, J., Mathew, I., Conrad, E. J., et al. (2014a). Patient smartphone ownership and interest in mobile apps to monitor symptoms of mental health conditions: a survey in four geographically distinct psychiatric clinics. JMIR Mental Health, 1 (1), e5.

Torous, J., Friedman, R., & Keshavan, M. (2014b). Smartphone ownership and interest in mobile applications to monitor symptoms of mental health conditions. JMIR mHealth and uHealth, 2 (1), e2.

Torous, J., Wisniewski, H., Bird, B., Carpenter, E., David, G., Elejalde, E., et al. (2019). Creating a digital health smartphone app and digital phenotyping platform for mental health and diverse healthcare needs: an interdisciplinary and collaborative approach. Journal of Technology in Behavioral Science, 4 (2), 73–85.

Trefflich, F., Kalckreuth, S., Mergl, R., & Rummel-Kluge, C. (2015). Psychiatric patients' internet use corresponds to the internet use of the general public. Psychiatry Research, 226 , 136–141.

Twenge, J. M., & Campbell, W. K. (2018). Associations between screen time and lower psychological well-being among children and adolescents: evidence from a population-based study. Preventive Medicine Reports, 12 , 271–283.

Twenge, J. M., Joiner, T. E., Rogers, M. L., & Martin, G. N. (2018). Increases in depressive symptoms, suicide-related outcomes, and suicide rates among US adolescents after 2010 and links to increased new media screen time. Clinical Psychological Science, 6 (1), 3–17.

Tynes, B. M., Willis, H. A., Stewart, A. M., & Hamilton, M. W. (2019). Race-related traumatic events online and mental health among adolescents of color. Journal of Adolescent Health, 65 (3), 371–377.

Vannucci, A., Flannery, K. M., & Ohannessian, C. M. (2017). Social media use and anxiety in emerging adults. Journal of Affective Disorders, 207 , 163–166.

Vayreda, A., & Antaki, C. (2009). Social support and unsolicited advice in a bipolar disorder online forum. Qualitative Health Research, 19 (7), 931–942.

Ventola, C. L. (2014). Social media and health care professionals: benefits, risks, and best practices. Pharmacy and Therapeutics, 39 (7), 491–520.

We Are Social. (2020). Digital in 2020. Retrieved from https://wearesocial.com/global-digital-report-2019 . Accessed 10 Jan 2020.

Webb, H., Jirotka, M., Stahl, B. C., Housley, W., Edwards, A., Williams, M., ... & Burnap, P. (2017). The ethical challenges of publishing Twitter data for research dissemination . Paper presented at the proceedings of the 2017 ACM on Web Science Conference, 339–348.

Williams, M. L., Burnap, P., & Sloan, L. (2017). Towards an ethical framework for publishing twitter data in social research: taking into account users’ views, online context and algorithmic estimation. Sociology, 51 (6), 1149–1168.

Woods, H. C., & Scott, H. (2016). # Sleepyteens: social media use in adolescence is associated with poor sleep quality, anxiety, depression and low self-esteem. Journal of Adolescence, 51 , 41–49.

Ybarra, M. L. (2004). Linkages between depressive symptomatology and internet harassment among young regular Internet users. Cyberpsychology & Behavior, 7 (2), 247–257.

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Dr. Naslund is supported by a grant from the National Institute of Mental Health (U19MH113211). Dr. Aschbrenner is supported by a grant from the National Institute of Mental Health (1R01MH110965-01).

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Naslund, J.A., Bondre, A., Torous, J. et al. Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice. J. technol. behav. sci. 5 , 245–257 (2020). https://doi.org/10.1007/s41347-020-00134-x

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The Social Media and Mental Health Connection

Sherri Gordon, CLC is a published author, certified professional life coach, and bullying prevention expert. She's also the former editor of Columbus Parent and has countless years of experience writing and researching health and social issues.

Rachel Goldman, PhD FTOS, is a licensed psychologist, clinical assistant professor, speaker, wellness expert specializing in eating behaviors, stress management, and health behavior change.

Verywell / Catherine Song

Why Social Media Is Growing in Popularity

Social media and mental health concerns, signs social media is impacting your mental health.

In recent years, there has been a significant increase in social media use. According to the Pew Research Center, 72% of Americans in the U.S. use social media.

People use social networking tools to stay in touch with family and friends, get their news, and share their political views . This has some researchers wondering about the long-term effects of social media use.

Because social media use is still relatively new, there are no long-term studies documenting its effects. But several studies indicate that social media impacts mental health in a number of ways. The increasing reliance on and use of social media puts a large number of Americans at an increased risk for feeling anxious, depressed, lonely, envious, and even ill over social media use.

Aside from the fact that social media allows people to reconnect with family and friends that live far away or that they have lost touch with, it became a vital communication tool during the pandemic.

Social Media Supports Connections

People used social media to share information and connect with others when stay-at-home orders kept them from meeting in person. It became a vehicle for social support and connectedness that they would not otherwise have had.

Social Media Makes People Feel Good

Social media has a tendency to reinforce use. People quickly become hooked on checking their statuses for comments and likes, as well as perusing other people's posts.

Using social media sometimes activates the brain's reward center by releasing dopamine , also known as the feel-good chemical. This dopamine release, in turn, keeps people coming back because they want to repeat those feel-good experiences.

Social Media Boosts Self-Esteem

Social media also can boost self-esteem , especially if a person is viewed favorably online or gets a number of likes or interactions on their content. And social media allows some people to share parts of their identity that may be challenging to communicate in person.

Social media can be particularly helpful for people with social anxiety who struggle to interact with people in person.

Despite the above benefits, researchers are discovering that there are some downsides to social media, particularly with regard to mental health.

Social Media Use May Contribute to Depression

For a technology that's supposed to bring people closer together, it can have the opposite effect—especially when disagreements erupt online. Social media has been linked to depression , anxiety, and loneliness. It can make people feel isolated and alone.

One 2017 study found that young people who use social media more than two hours per day are much more likely to categorize their mental health as fair or poor compared to occasional social media users.

A large-scale study of young adults in the U.S. found that occasional users of social media are three times less likely to experience symptoms of depression than heavy users.

Social Media May Hurt Your Self-Esteem

While social media can sometimes be a self-esteem booster, it can also cause you to experience feelings of inadequacy about your life and your appearance. Even if you know that the images you see online are manipulated or represent someone else's highlight reel, they can still cause feelings of insecurity, envy, and dissatisfaction.

Fear of Missing Out

Another mental health phenomenon associated with social media is what is known as FOMO , or the "fear of missing out." Social media sites like Facebook and Instagram exacerbate the fear that you're missing something or that other people are living a better life than you are.

In extreme cases, FOMO can cause you to become tethered to your phone where you are constantly checking for updates or responding to every single alert.

Social Media Can Lead to Self-Absorption

Sharing endless selfies as well as your innermost thoughts on social media can create an unhealthy self-centeredness that causes you to focus on crafting your online image rather than making memories with your friends and family members in real life.

In fact, strenuous efforts to engage in impression management or get external validation can have psychological costs, especially if the approval you're seeking is never received. Ultimately, the lack of positive feedback online can lead to self-doubt and self-hatred .

Impulse Control Issues

Excessive social media use can lead to impulse control issues , especially if you access your social networks using a smartphone. This means that you have round-the-clock access to your accounts, which not only makes it easy for you always to be connected, but can affect your concentration and focus. It can even disturb your sleep and compromise your in-person relationships.

Social Media May Be Used As an Unhealthy Coping Mechanism

Social media can become an unhealthy way of coping with uncomfortable feelings or emotions . For instance, if you turn to social media when you're feeling down, lonely, or bored, you're potentially using it as a way to distract you from unpleasant feelings.

Ultimately, social media is a poor way to self-soothe, especially because perusing social media can often make you feel worse instead of better.

Press Play For Advice on Reducing Screen Time

Hosted by therapist Amy Morin, LCSW, this episode of The Verywell Mind Podcast shares effective ways to reduce screen time. Click below to listen now.

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Because everyone is different, there is no set amount of time spent on social media that is recommended. Instead, you need to evaluate how your social media use is impacting your life, including how you feel when you don't use social media as well as how you feel after using it.

A 2018 University of Pennsylvania study suggests that self-monitoring can change one's perception of social media. According to the lead researcher, psychologist Melissa G. Hunt, PhD, using social media less than you normally do, can lead to significant decreases in loneliness and depression. By using self-monitoring and making adjustments, people can significantly improve their overall well-being.

Social Media Distracts You

If you find that your social media use is impacting your relationships or is distracting you from work or school, it may be problematic. Additionally, if scrolling through social media leaves you feeling envious, depressed, anxious, or angry, then you need to re-evaluate your use.

It could be that you need to detox from social media and spend some time offline in order to safeguard your mental health.

You Use Social Media to Avoid Negative Emotions

Social media also could be an issue if you tend to use it to fight boredom or to deal with loneliness. Although these feelings are uncomfortable and it's only natural to want to alleviate them, turning to social media for comfort or as a distraction is not a healthy way to cope with difficult feelings and emotions.

As a result, it may be time for you to reassess your social media habits. Here are some additional signs that social media may be having a negative impact on your life and your mental health:

• Your symptoms of anxiety, depression, and loneliness are increasing.
• You are spending more time on social media than with your real-world friends and family members.
• You tend to compare yourself unfavorably with others on social media or you find that are your frequently jealous of others.
• You are being trolled or cyberbullied by others online.
• You are engaging in risky behaviors or taking outrageous photos in order to gain likes.
• Your work obligations, family life, or school work is suffering because of the time you spend on social media.
• You have little time for self-care activities like mindfulness , self-reflection, exercise, and sleep.

If you're spending a significant amount of time on social media and you're beginning to notice feelings of sadness, dissatisfaction, frustration, and loneliness that are impacting your life and your relationships, it may be time to re-evaluate your online habits.

If you find that even after adjusting your social media use, you're still experiencing symptoms of depression or anxiety, it's important to talk with your healthcare provider so that you can be evaluated. With proper treatment, you will soon be feeling better.

If you or a loved one are struggling with [condition name], contact the Substance Abuse and Mental Health Services Administration (SAMHSA) National Helpline at 1-800-662-4357 for information on support and treatment facilities in your area.

For more mental health resources, see our National Helpline Database .

Pew Research Center. Social media fact sheet .

Centre for Addiction and Mental Health. Social media use and mental health among students in Ontario . CAMH Population Studies eBulletin . 2018;19(2).

Lin LY, Sidani JE, Shensa A, et al. Association between social media use and depression among U.S. young adults . Depress Anxiety . 2016;33(4):323-31. doi:10.1002/da.22466.

Chou H-TG, Edge N. “They are happier and having better lives than i am”: The impact of using Facebook on perceptions of others’ lives .  Cyberpsychol Behav Soc Netw . 2012;15(2):117-121. doi:10.1089/cyber.2011.0324

Hunt MG, Marx R, Lipson C, Young J. No more FOMO: limiting social media decreases loneliness and depression . J Soc Clin Psychol . 2018;37(10):751-768. doi:10.1521/jscp.2018.37.10.751

Karim F, Oyewande AA, Abdalla LF, Chaudhry Ehsanullah R, Khan S. Social media use and its connection to mental health: a systematic review .  Cureus . 2020;12(6):e8627. doi:10.7759/cureus.8627

Pantic I. Online social networking and mental health .  Cyberpsychol Behav Soc Netw . 2014;17(10):652-657. doi:10.1089/cyber.2014.0070

By Sherri Gordon Sherri Gordon, CLC is a published author, certified professional life coach, and bullying prevention expert. She's also the former editor of Columbus Parent and has countless years of experience writing and researching health and social issues.

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Science News

Social media harms teens’ mental health, mounting evidence shows. what now.

Understanding what is going on in teens’ minds is necessary for targeted policy suggestions

Most teens use social media, often for hours on end. Some social scientists are confident that such use is harming their mental health. Now they want to pinpoint what explains the link.

Carol Yepes/Getty Images

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By Sujata Gupta

February 20, 2024 at 7:30 am

In January, Mark Zuckerberg, CEO of Facebook’s parent company Meta, appeared at a congressional hearing to answer questions about how social media potentially harms children. Zuckerberg opened by saying: “The existing body of scientific work has not shown a causal link between using social media and young people having worse mental health.”

But many social scientists would disagree with that statement. In recent years, studies have started to show a causal link between teen social media use and reduced well-being or mood disorders, chiefly depression and anxiety.

Ironically, one of the most cited studies into this link focused on Facebook.

Researchers delved into whether the platform’s introduction across college campuses in the mid 2000s increased symptoms associated with depression and anxiety. The answer was a clear yes , says MIT economist Alexey Makarin, a coauthor of the study, which appeared in the November 2022 American Economic Review . “There is still a lot to be explored,” Makarin says, but “[to say] there is no causal evidence that social media causes mental health issues, to that I definitely object.”

The concern, and the studies, come from statistics showing that social media use in teens ages 13 to 17 is now almost ubiquitous. Two-thirds of teens report using TikTok, and some 60 percent of teens report using Instagram or Snapchat, a 2022 survey found. (Only 30 percent said they used Facebook.) Another survey showed that girls, on average, allot roughly 3.4 hours per day to TikTok, Instagram and Facebook, compared with roughly 2.1 hours among boys. At the same time, more teens are showing signs of depression than ever, especially girls ( SN: 6/30/23 ).

As more studies show a strong link between these phenomena, some researchers are starting to shift their attention to possible mechanisms. Why does social media use seem to trigger mental health problems? Why are those effects unevenly distributed among different groups, such as girls or young adults? And can the positives of social media be teased out from the negatives to provide more targeted guidance to teens, their caregivers and policymakers?

“You can’t design good public policy if you don’t know why things are happening,” says Scott Cunningham, an economist at Baylor University in Waco, Texas.

Increasing rigor

Concerns over the effects of social media use in children have been circulating for years, resulting in a massive body of scientific literature. But those mostly correlational studies could not show if teen social media use was harming mental health or if teens with mental health problems were using more social media.

Moreover, the findings from such studies were often inconclusive, or the effects on mental health so small as to be inconsequential. In one study that received considerable media attention, psychologists Amy Orben and Andrew Przybylski combined data from three surveys to see if they could find a link between technology use, including social media, and reduced well-being. The duo gauged the well-being of over 355,000 teenagers by focusing on questions around depression, suicidal thinking and self-esteem.

Digital technology use was associated with a slight decrease in adolescent well-being , Orben, now of the University of Cambridge, and Przybylski, of the University of Oxford, reported in 2019 in Nature Human Behaviour . But the duo downplayed that finding, noting that researchers have observed similar drops in adolescent well-being associated with drinking milk, going to the movies or eating potatoes.

Holes have begun to appear in that narrative thanks to newer, more rigorous studies.

In one longitudinal study, researchers — including Orben and Przybylski — used survey data on social media use and well-being from over 17,400 teens and young adults to look at how individuals’ responses to a question gauging life satisfaction changed between 2011 and 2018. And they dug into how the responses varied by gender, age and time spent on social media.

Social media use was associated with a drop in well-being among teens during certain developmental periods, chiefly puberty and young adulthood, the team reported in 2022 in Nature Communications . That translated to lower well-being scores around ages 11 to 13 for girls and ages 14 to 15 for boys. Both groups also reported a drop in well-being around age 19. Moreover, among the older teens, the team found evidence for the Goldilocks Hypothesis: the idea that both too much and too little time spent on social media can harm mental health.

“There’s hardly any effect if you look over everybody. But if you look at specific age groups, at particularly what [Orben] calls ‘windows of sensitivity’ … you see these clear effects,” says L.J. Shrum, a consumer psychologist at HEC Paris who was not involved with this research. His review of studies related to teen social media use and mental health is forthcoming in the Journal of the Association for Consumer Research.

Cause and effect

That longitudinal study hints at causation, researchers say. But one of the clearest ways to pin down cause and effect is through natural or quasi-experiments. For these in-the-wild experiments, researchers must identify situations where the rollout of a societal “treatment” is staggered across space and time. They can then compare outcomes among members of the group who received the treatment to those still in the queue — the control group.

That was the approach Makarin and his team used in their study of Facebook. The researchers homed in on the staggered rollout of Facebook across 775 college campuses from 2004 to 2006. They combined that rollout data with student responses to the National College Health Assessment, a widely used survey of college students’ mental and physical health.

The team then sought to understand if those survey questions captured diagnosable mental health problems. Specifically, they had roughly 500 undergraduate students respond to questions both in the National College Health Assessment and in validated screening tools for depression and anxiety. They found that mental health scores on the assessment predicted scores on the screenings. That suggested that a drop in well-being on the college survey was a good proxy for a corresponding increase in diagnosable mental health disorders. 

Compared with campuses that had not yet gained access to Facebook, college campuses with Facebook experienced a 2 percentage point increase in the number of students who met the diagnostic criteria for anxiety or depression, the team found.

When it comes to showing a causal link between social media use in teens and worse mental health, “that study really is the crown jewel right now,” says Cunningham, who was not involved in that research.

A need for nuance

The social media landscape today is vastly different than the landscape of 20 years ago. Facebook is now optimized for maximum addiction, Shrum says, and other newer platforms, such as Snapchat, Instagram and TikTok, have since copied and built on those features. Paired with the ubiquity of social media in general, the negative effects on mental health may well be larger now.

Moreover, social media research tends to focus on young adults — an easier cohort to study than minors. That needs to change, Cunningham says. “Most of us are worried about our high school kids and younger.” 

And so, researchers must pivot accordingly. Crucially, simple comparisons of social media users and nonusers no longer make sense. As Orben and Przybylski’s 2022 work suggested, a teen not on social media might well feel worse than one who briefly logs on. 

Researchers must also dig into why, and under what circumstances, social media use can harm mental health, Cunningham says. Explanations for this link abound. For instance, social media is thought to crowd out other activities or increase people’s likelihood of comparing themselves unfavorably with others. But big data studies, with their reliance on existing surveys and statistical analyses, cannot address those deeper questions. “These kinds of papers, there’s nothing you can really ask … to find these plausible mechanisms,” Cunningham says.

One ongoing effort to understand social media use from this more nuanced vantage point is the SMART Schools project out of the University of Birmingham in England. Pedagogical expert Victoria Goodyear and her team are comparing mental and physical health outcomes among children who attend schools that have restricted cell phone use to those attending schools without such a policy. The researchers described the protocol of that study of 30 schools and over 1,000 students in the July BMJ Open.

Goodyear and colleagues are also combining that natural experiment with qualitative research. They met with 36 five-person focus groups each consisting of all students, all parents or all educators at six of those schools. The team hopes to learn how students use their phones during the day, how usage practices make students feel, and what the various parties think of restrictions on cell phone use during the school day.

Talking to teens and those in their orbit is the best way to get at the mechanisms by which social media influences well-being — for better or worse, Goodyear says. Moving beyond big data to this more personal approach, however, takes considerable time and effort. “Social media has increased in pace and momentum very, very quickly,” she says. “And research takes a long time to catch up with that process.”

Until that catch-up occurs, though, researchers cannot dole out much advice. “What guidance could we provide to young people, parents and schools to help maintain the positives of social media use?” Goodyear asks. “There’s not concrete evidence yet.”

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Is social media use bad for young people’s mental health? It’s complicated.

July 17, 2023 – On May 23, U.S. Surgeon General Vivek Murthy issued an advisory warning about the potential dangers of social media for the mental health of children and teens . Laura Marciano , postdoctoral research fellow at the Lee Kum Sheung Center for Health and Happiness and in the  Department of Social and Behavioral Sciences at Harvard T.H. Chan School of Public Health, says that social media use might be detrimental for young people’s well-being but can also have positive effects.

Q: What are your thoughts on the Surgeon General’s advisory?

A: The advisory highlighted compelling evidence published during the last decade on the potential harmful impact of social media on children and adolescents. Some of what young people experience online—including cyberbullying, online harassment and abuse, predatory behaviors, and exposure to violent, sexual, and hate-based content—can undoubtedly be negative. But social media experiences are not limited to these types of content.

Much of the scientific literature on the effects of social media use has focused on negative outcomes. But the link between social media use and young people’s mental health is complicated. Literature reviews show that study results are mixed: Associations between social media use and well-being can be positive, negative, and even largely null when advanced data analyses are carried out, and the size of the effects is small. And positive and negative effects can co-exist in the same individual. We are still discovering how to compare the effect size of social media use with the effects of other behavioral habits—such as physical activity, sleep, food consumption, life events, and time spent in offline social connections—and psychological processes happening offline. We are also still studying how social media use may be linked positively with well-being.

It’s important to note that many of the existing studies relied on data from people living in so-called WEIRD countries (Western, Educated, Industrialized, Rich and Democratic), thus leaving out the majority of the worldwide population living in the Global South. In addition, we know that populations like minorities, people experiencing health disparities and chronic health conditions , and international students can find social media extremely helpful for creating and maintaining social communities to which they feel they belong.

A number of large cohort studies have measured social media use according to time spent on various platforms. But it’s important to consider not just time spent, but whether that time is displacing time for other activities promoting well-being, like physical activity and sleep. Finally, the effects of social media use are idiosyncratic, meaning that each child and adolescent might be affected differently, which makes it difficult to generalize about the effects.

Literature reviews on interventions limiting social media use present a more balanced picture. For example, one comprehensive review on the effects of digital detox—refraining from using devices such as smartphones—wasn’t able to draw any clear conclusions about whether such detox could be effective at promoting a healthy way of life in the digital era, because the findings were mixed and contradictory.

Q: What has your research found regarding the potential risks and benefits of social media use among young people?

A: In my work with Prof. Vish Viswanath , we have summarized all the papers on how social media use is related to positive well-being measures, to balance the ongoing bias of the literature on negative outcomes such as depression and anxiety. We found both positive and negative correlations between different social media activities and well-being. The most consistent results show a link between social media activities and hedonic well-being (positive emotions) and social well-being. We also found that social comparison—such as comparing how many likes you have with how many someone else has, or comparing yourself to digitally enhanced images online—drives the negative correlation with well-being.

Meanwhile, I am working on the “ HappyB ” project, a longitudinal project based in Switzerland, through which I have collected data from more than 1,500 adolescents on their smartphone and social media use and well-being. In a recent study using that cohort, we looked at how social media use affects flourishing , a construct that encompasses happiness, meaning and purpose, physical and mental health, character, close social relationships, and financial stability. We found that certain positive social media experiences are associated with flourishing. In particular, having someone to talk to online when feeling lonely was the item most related to well-being. That is not surprising, considering that happiness is related to the quality of social connections.

Our data suggest that homing in on the psychological processes triggered during social media use is key to determining links with well-being. For example, we should consider if a young person feels appreciated and part of a group in a particular online conversation. Such information can help us shed light on the dynamics that shape young people’s well-being through digital activities.

In our research, we work to account for the fact that social media time is a sedentary behavior. We need to consider that any behavior that risks diminishing the time spent on physical activity and sleep—crucial components of brain development and well-being—might be detrimental. Interestingly, some studies suggest that spending a short amount of time using social media, around 1-2 hours, is beneficial, but—as with any extreme behavior—it can cause harm if the time spent online dominates a child’s or adolescent’s day.

It’s also important to consider how long the effects of social media last. Social media use may have small ephemeral effects that can accumulate over time. A step for future research is to disentangle short- versus long-term effects and how long each last. In addition, we should better understand how digital media usage affects the adolescent brain. Colleagues and I have summarized existing neuroscientific studies on the topic, but more multidisciplinary research is needed.

Q: What are some steps you’d recommend to make social media use safer for kids?

A: I’ll use a metaphor to answer this question. Is a car safe for someone that is not able to drive? To drive safely, we need to learn how to accelerate, recognize road signs, make safe decisions according to certain rules, and wear safety belts. Similarly, to use social media safely, I think we as a society—including schools, educators, and health providers—should provide children and families with clear, science-based information on both its positive and negative potential impacts.

We can also ask social media companies to pay more attention to how some features—such as the number of “likes”—can modulate adolescent brain activity, and to think about ways to limit negative effects. We might even ask adolescents to advise designers on how to create social media platforms specifically for them. It would be extremely valuable to ask them which features would be best for them and which ones they would like to avoid. I think that co-designing apps and conducting research with the young people who use the platforms is a crucial step.

For parents, my suggestion is to communicate with your children and promote a climate of safety and empathy when it comes to social media use. Try to use these platforms along with them, for example by explaining how a platform works and commenting on the content. Also, I would encourage schools and parents to collaborate on sharing information with young people about social media and well-being.

Also, to offset children’s sedentary time spent on social media, parents could offer them alternative extracurricular activities to provide some balance. But it’s important to remember that social well-being depends on the quality of social connections, and that social media can help to promote this kind of well-being. So I’d recommend trying to keep what is good—according to my research that would include instant messaging, the chance to talk to people when someone is feeling lonely, and funny or inspirational content—and minimizing what’s negative, such as too much sedentary time or too much time spent on social comparison.

– Karen Feldscher

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Social-media influence on teen mental health goes beyond just cause and effect

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In her review of Jonathan Haidt’s book The Anxious Generation ( Nature 628 , 29–30; 2024 ), Candice Odgers focuses on whether there is a causal relationship between social-media use and poor social outcomes among young people. However, this gives an incomplete view of Haidt’s argument, which puts social-media use in a wider context.

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Social Media and Mental Health Essay

The role of social media in people’s lives has increased exponentially over the past decade. The online personas that people create matter to them nearly just as much as their real-life image due to the constant communication and the opportunity to track down their responses to specific posts at any time. As a result, the impact of social media on the mental well-being of its users is worth considering. Sumner et al. point to the positive effects of social media, clarifying that the specified technological innovation can be used as the tool for improving mental health of its users. Namely, the research states that social media allows spreading useful and positive information about health-related issues much faster than traditional media. As a result, the opportunities for increasing the levels of public health and addressing some of the most common public health issues emerge.

The connection between the positivity of a message and its reception in social media is a crucial piece of information that needs to be incorporated into the current approach toward increasing the levels of public health, citizens’ health literacy, and the accessibility of health services. Namely, the conclusions that Sumner et al. make concerning the direct correlation between the positivity of a message and the likelihood of it being transmitted to a greater number of people should be used as the tool fro encouraging better health management: “Sheer volume of supportive content provided by produced by organizations or individuals may be less important than creating higher-quality messages” (p. 143). Thus, the conclusion that the authors provide should be used to enhance the efficacy and accessibility of the current health services.

One could argue that the general research outcomes should be seen as quite upsetting given the implications that they provide. Namely, the fact that the work of health professionals, who perform meticulous studies and arrange the data as carefully as possible to provide accurate and concise guidelines may be less important than an upbeat yet empty message is a rather sad idea. The specified conclusions may lead to a drop in the extent of health practitioners’ and nurse educators’ enthusiasm in providing the services of the highest quality.

However, the message that Sumner et al. convey could also be seen as an opportunity for enhancing health education and raising health literacy within the community by building a better rapport with its members. Namely, the data about the significance of the use of positivity in social networks as the tool for attracting the attention of patients and target audiences should be utilized to shape the current approach toward promoting health literacy. Specifically, healthcare practitioners and registered nurses, especially those that address the issues of patient education directly, need to create the strategy for the online conversation with patients through social media. The specified dialogue could be based on a combination of positive messages and clear visuals that inform patients about key issues in health management and provide them with an opportunity to improve their health literacy.

Additionally, the authors have provided an important tool for the development of a campaign aimed at public health management and improvement. Namely, based on the outcomes of the research carried out by Sumner et al. have informed the strategies for improving communication between patients and nurse educators. The specified change in how people perceive health management is especially important in the context of the present-day epidemic of coronavirus. Given the rapid spread of the epidemic and its recent transformation into the pandemic, reinforcing the instructions for people to remain safe is an essential task for APRNs and healthcare experts worldwide. In turn, the application of social media suits perfectly for the described purpose since it allows sharing information instantly and providing people with clear and concise guidelines for them to follow. Although social media mostly do not allow for detailed descriptions of specific health concerns and profound analysis of these issues, they serve their purpose of bulletin boards with clear and distinct guidelines that the members of the global community can apply to their daily routine.

Specifically, the use of positive messages in social media will reinforce the importance of guidelines and ensuring that people will follow them properly. For instance, Sumner et al. mention that the use of social networks has helped to promote social sharing. As the authors explain, “In topic areas such as cancer support, investigators found that the degree of positive sentiment in a message is associated with increased message spread” (Summer et al, p. 143). Therefore, the inclusion of positive thinking and positive emotions into the process of knowledge sharing enhances the extent to which people are willing to engage in the discussion. Moreover, the rise in the inclination to share a message that is positive will allow fighting some of the most severe health concerns that the global community is facing presently, primarily, the coronavirus.

Furthermore, the discussion sparked by the authors raises the question of inaccurate health-related information in social media and the means of filtering data. Indeed, for an uninitiated user of social media, discerning between accurate health-related information and the posts that reinforce health-associated myths is virtually impossible. Although some indicators such as the identity of the user posting the information could provide hints regarding the veracity of data, social media users have to rely on their intuition for the most part. Therefore, it is also critical for nurses to develop strategies for shielding social media users from the data that provides a distorted picture of health management.

Finally, the issue of addressing serious health concerns in social media should be discussed as a contentious subject. Given the outcomes of the research performed by Summer et al., it is critical to focus on delivering positive messages to target audiences to increase compliance with the established health management strategies. However, when tackling a serious health concern that has led or may potentially lead to a rapid rise in lethal outcomes, remaining positive becomes quite challenging. Not only will a message sound false in the specified circumstances, but it is also likely to be perceived in a negative light due to the dissonance between the subject matter and the tone of its delivery. Therefore, the outcomes of the study pose a difficult dilemma for educators and healthcare providers to resolve when addressing their target audiences via social media. Namely, retaining positivity while talking about serious issues is likely to become a major stumbling block for most healthcare service members.

The outcomes of the study performed by Summer et al. have offered a range of important insights, the significance of positivity in modern media as the means of encouraging citizens to accept healthy behaviors being one of the key conclusions. However, to apply the specified results to the management of current public health concerns, one will have to shape the existing framework for communicating with patients significantly. Therefore, the research should be seen as the basis for redesigning the present health education strategy, as well as the approach toward conversing with patients.

Sumner, Steven A., et al. “Factors Associated with Increased Dissemination of Positive Mental Health Messaging on Social Media.” Crisis: The Journal of Crisis Intervention and Suicide Prevention , vol. 41, no. 2, 2019, pp. 141-145. doi:10.1027/0227-5910/a000598.

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The Impact of Social Media on Teens' Mental Health

Social media has some good intentions: connecting you with people all around the world, showing you content you are interested in, and providing endless entertainment. But there are also negative consequences to endless scrolling. Research has shown that young adults who use social media are three times as likely to suffer from depression , putting a large portion of the population at risk for suicidal thoughts and behaviors. 

In the U.S., suicide rates have declined slightly since 2019, but it continues to be a serious concern among our younger generation. According to the Centers for Disease Control and Prevention, the number of suicides in females aged 15-24 increased 87 percent over the past 20 years. And among males aged 15-24, the number of suicides rose by 30 percent over that same time period. 

Almost every teen now has an account on at least one social media platform. They use social media to reach out to friends, share experiences, and tell the world about themselves. However, without realizing it, they are managing an addiction. 

Jessica Holzbauer , a licensed clinical social worker at Huntsman Mental Health Institute , explains how our smartphones are, by design, addictive. “We get a dopamine release in our brain when we pick up our phone or log into social media,” she says. Using social apps is essentially priming your brain into thinking you are rewarding yourself every time you pick up your device. 

Negative Impacts of Social Media

Is it true that using social apps could negatively affect your mental health? 

“In short, yes, social media can have negative consequences for our mental health,” Holzbauer says. “The younger generation grew up with social media and the ability to see anything, anytime, anywhere. Our ability to tolerate the distress of waiting has been eroded because we can Google the answer to almost any question. We no longer have to wait to know who was the actor that played Ron Burgundy in Anchorman or where to find the nearest library.” 

In many ways, social media has removed the barriers between the user and the audience—with far-reaching implications. “We can act on impulse and post something to social media that may reflect a feeling or thought in the moment but may not be true to us a day later,” Holzbauer says. “When our more level-headed self is back in charge, we can feel embarrassment, shame, or regret for posting something impulsively.” 

We also know that content can be filtered, edited, and manipulated before it’s posted, which can lead to unattainable standards being broadcast to the entire world for anyone to see. Users are obsessed with instant gratification and in some instances base their worth or image off the images they see and the amount of likes they receive on their post. 

“The information teens are putting out is one factor—another is the information they are taking in,” Holzbauer says. “Social media is giving them access to images, people, and ideas they otherwise would not be able to access. This can be a very positive thing, but we know it can also have negative consequences.” 

A recent study from Facebook found Instagram to have harmful effects among a portion of its millions of young users, particularly teenage girls. Findings indicated that Instagram makes body image issues worse for one in three teenage girls. And among teenagers who reported suicidal thoughts, 6 percent in the U.S. traced them back to Instagram. 

Warning Signs Your Teen Is Struggling

This is not to say that keeping teens from social media will keep teens from having suicidal thoughts. Instead, it is a call for parents to be aware of what their kids are doing online—and to look for any changes in their child’s behavior. 

“If your child is starting to focus too much of their attention on social media at the expense of real-life interactions, parents should be concerned,” Holzbauer says. “At the very least, this should spark a conversation about the behaviors to ensure there aren’t more serious issues going on like bullying, anxiety , or other issues.”  

Parents should also look for behaviors not necessarily related to social media that may signal a problem. If a teen is acting differently, seems disinterested in life, or is talking about not wanting to live, actions should be taken. It can be a hard conversation to have —but it might save their life. 

Parents aren’t the only ones who should be on alert. Friends should also be aware when it appears someone is in trouble. They may even have more insight into the situation because they are sharing social media experiences and seeing similar content. One thing all teens should know is that if a friend appears to be considering suicide, they should not write it off as someone being “dramatic” or seeking attention. Be sure to tell someone if you see concerning behavior online and know the resources available. 

Tips for Healthy Social Media Use

We all know how the algorithm works—the more you look at your phone, the more it will send compelling content to keep your eyes from looking away. It’s hard to break habits of checking TikTok or Instagram and constantly refreshing to see more, but it’s important to take time away for our mental and physical health. Parents can set a good example through their own virtual behavior. Here are some tips for parents and their teens .

988 , the national suicide and crisis lifeline, is available anytime, anywhere. Simply call, chat, or text 9-8-8 for an immediate response from a licensed mental health professional. In Utah, students also have access to the  SafeUT app  where they can chat confidentially or submit a tip about themselves or a friend. 

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Essay on Effects Of Social Media On Mental Health

Students are often asked to write an essay on Effects Of Social Media On Mental Health in their schools and colleges. And if you’re also looking for the same, we have created 100-word, 250-word, and 500-word essays on the topic.

Let’s take a look…

100 Words Essay on Effects Of Social Media On Mental Health

Introduction.

Social media is a tool that lets us communicate and share with people around the world. It’s very popular, especially with young people. But, it can also affect our mental health in different ways.

Positive Impact

Social media can have a good effect on our mental health. It allows us to connect with friends and family, even if they live far away. It can also help us find groups of people who share our interests. This can make us feel less alone and more understood.

Negative Impact

On the other hand, social media can also have a bad effect on our mental health. Seeing other people’s “perfect” lives can make us feel bad about our own. It can also lead to cyberbullying, which can hurt our self-esteem and cause stress.

Importance of Balance

Like most things, balance is key when using social media. Spending too much time online can make us feel isolated in real life. It’s important to take breaks and spend time doing other things we enjoy.

In conclusion, social media can have both positive and negative effects on our mental health. It’s important to use it wisely and remember that it’s okay to take a break if it’s making us feel bad.

250 Words Essay on Effects Of Social Media On Mental Health

Social media is a powerful tool that connects people from all corners of the world. It is a platform where we share our thoughts, ideas, and daily life activities. But, it also has a great impact on our mental health.

Impacts on Self-Esteem

One of the main effects of social media on mental health is on our self-esteem. When we see our friends having fun, achieving things, or looking happy, we often compare ourselves with them. This comparison can make us feel less confident and happy about our own lives.

Loneliness and Isolation

Another effect is the feeling of loneliness and isolation. Even though we are connected with many people online, we can still feel alone. This is because social media interactions are not the same as real-life interactions. This feeling can lead to sadness and depression.

Anxiety and Fear

Social media can also cause anxiety and fear. We often worry about what others will think of our posts. We fear negative comments and judgments. This constant worry can lead to stress and anxiety.

In conclusion, while social media has its benefits, it can also have negative effects on our mental health. It can affect our self-esteem, make us feel lonely, and cause anxiety. Therefore, it is important to use social media wisely and not let it control our lives. We need to remember that what we see on social media is not always the full picture of someone’s life.

500 Words Essay on Effects Of Social Media On Mental Health

Social media is a big part of our lives. We use it to chat with friends, share photos, and learn about the world. But, it can also affect our mental health in both good and bad ways. This essay will explore these effects.

Positive Effects

First, let’s talk about the good things. Social media can make us feel connected. It allows us to keep in touch with friends and family, even if they live far away. This can make us feel less lonely. It can also help us find people who share our interests. For example, if you love painting, you can join an art group online. This can boost your confidence and make you feel part of a community.

Negative Effects

Now, let’s look at the negative side. Spending too much time on social media can make us feel sad or anxious. This is because we often compare our lives to the perfect ones we see online. This can make us feel like we are not good enough.

Another problem is cyberbullying. Some people use social media to hurt others by sending mean messages or spreading rumors. This can lead to stress, anxiety, and even depression.

Impact on Sleep

Social media can also affect our sleep. Many of us check our phones before bed. The bright screen can make it harder for us to fall asleep. Lack of sleep can lead to mood swings, trouble focusing, and feeling tired all the time.

Ways to Stay Healthy

The good news is there are ways to use social media without hurting our mental health. One way is to limit our time online. We can set a timer or use an app that reminds us to take a break.

We should also remember that what we see online is not always real. Many people only share the best parts of their lives, not the hard parts.

If someone is being mean to us online, we should tell a trusted adult. We can also block or report the person.

In conclusion, social media has both good and bad effects on our mental health. It can make us feel connected, but it can also make us feel sad, anxious, and tired. To stay healthy, we need to use social media in a balanced way, remember that what we see online is not always real, and speak up if someone is being mean to us.

That’s it! I hope the essay helped you.

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15 Ways Social Media Affects Mental Health

Posted: May 26, 2024 | Last updated: May 26, 2024

As we become more aware of social media’s negative effects on mental health, it’s also essential to consider whether there are any benefits. As social media platforms become aware of the negative aspects of their products, many are embracing ways to improve mental health.

1. Social Media Gives You FOMO

FOMO (fear of missing out) is a problem for many people on social media. It seems like everyone else is having a fantastic life, is in love with their partner, and is having so much more fun than you. In addition, you might see posts from friends hosting an event you weren’t invited to, which can leave you feeling lonely and sad.

2. Social Media Can Cause Feelings of Isolation

While social media can bring people together, it can often cause feelings of social isolation. Spending time scrolling through social media channels can be an unconscious search for a dopamine hit, a way to feel better. However, if someone spends several hours daily on social media, they may lose touch with reality and become mentally detached from nurturing real-life relationships.

3. It Could Be Making You Feel Anxious or Depressed

Too much time on social media can lead to a sense of loneliness. We need face-to-face communication with others. No amount of emojis, likes, and comments can replace that essential emotional need. Watching others online can make you feel your life is lacking, which can significantly impact mental health. There’s also the added issue of prolonged periods of blue light, which can cause anxiety.

4. You May Start Comparing Yourself to Others

Comparison bias is comparing yourself to someone who may appear socially, physically, financially, or mentally better than you. That can cause a feeling of diminishing self-worth and self-esteem. However, social media content is often a rose-colored snapshot of a person’s life. In reality, a friend you think has a loving partner or a flourishing career may be unhappy and lonely and working in a toxic environment. Beautiful people may use makeup, great lighting, and filters to remove skin flaws.

5. Social Media Can Increase Feelings of Vulnerability

Online trolls seem to make a career out of making people feel miserable and notably cause young people to have serious mental health issues. A Stop Bullying Government Report suggests that children who are bullied on social media are more likely to suffer from depression. From stalking, name-calling, and starting rumors to sharing explicit images or physical threats, anyone sharing online becomes vulnerable to these unpleasant experiences.

6. It Can Negatively Impact Communication Skills

Spending time with others helps build social and communication skills. We learn how to have face-to-face discussions, to have fun and banter. We can develop genuine friendships from our encounters, fall in love, and feel an authentic connection. Social media can lead to feelings of disconnection, so it’s essential to maintain face-to-face relationships.

7. It Can Become Addictive

Social media becomes an issue when you cannot stop the constant scrolling. You may intend to watch just one or two videos on TikTok, when you suddenly disappear down a rabbit hole for several hours. Social media platforms use sounds like notification pings and visual stimuli like emojis to encourage users to remain engaged. Social media triggers dopamine, which is a feel-good chemical, a neurotransmitter in the brain. We can then become addicted to the rush of dopamine, which keeps us hooked on social media.

8. We’re Trapped in the Delusion That Social Media Helps

There’s a weird loop in our addiction to social media because of the conflict between thinking it helps and the negative feelings it can cause. It’s an unhealthy cycle that requires a strong focus on constant reflective feedback to break the habit. When you pick up your phone and open the Facebook app, there may be a sense of expectation and hope. After an hour of scrolling, you don’t feel “better.” You may feel worse. Eventually, the delusion becomes a negative loop that is challenging to break.

9. Social Media Can Be Positive for Mental Health

Social media can be an excellent way to promote accountability for a goal. For instance, members of a Facebook weight loss group can support each other and champion goals with positive reinforcement. A social support system works when the group administrators fiercely moderate negativity to create a supportive, safe, and positive space for members who enjoy the community vibe.

10. Social Media Can Increase Mental Health Interventions and Support

An increasing number of companies offer social media support through their websites. For example, grief and suicide support organizations focus on helping vulnerable people while maintaining a safe environment for anyone to share their personal experiences. They may host anonymous forums, online lives, webinars, and chats.

11. Social Media Can Be Useful for Mental Health Professionals

With increased social networking tools, mental health professionals can collect essential data to extend their reach and help more people. The research can help psychiatrists and therapists understand the challenges associated with mental health issues relating to social media. The benefits of a global reach can help demystify the stigma associated with mental health and help reduce serious concerns.

12. It Can Strengthen Existing Relationships

It’s too easy to lose touch with friends and family, especially if they are in a different country or location. Social media can help people connect. For example, older people or anyone with limited mobility may find it easier to connect with their children and grandchildren. Social media is a quick way to reach out to those close to you and maintain relationships without physically meeting.

13. It Can Help Young People Develop Functional Personal Skills

Young people may be reluctant to talk to those close to them, especially their parents if they have mental illnesses such as anxiety and depression. Social media helps teens reach out and share their issues with peers online. For a troubled teen, discussing their problems online can instigate an intervention by friends to get the help they need.

14. Social Media Can Make People Feel Less Alone

If someone is suffering from a specific problem, they may feel alone. Perhaps they feel different from others and believe they are the only ones with a particular issue or a way of thinking. Social media can help you find your tribe. For instance, if a teen has undiagnosed ADHD and feels baffled by their behavior, such as procrastination, hyper-focus, or intense procrastination, finding others with the same issues can be helpful. Discovering others online that have the same or similar experiences can positively impact mental health, especially for teenagers.

15. Social Media Can Help Children’s Collaborative Learning

Children can use social media platforms to understand and appreciate different worldviews and people’s perspectives. They can use these tools for education and to better understand the world around them.

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