Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
Hostname: page-component-cd9895bd7-mkpzs Total loading time: 0 Render date: 2024-12-18T17:01:24.731Z Has data issue: false hasContentIssue false

References

Published online by Cambridge University Press:  11 October 2023

Edited by
Allan House  and
Cathy Brennan
Allan House
Affiliation:
Emeritus, University of Leeds
Cathy Brennan
Affiliation:
University of Leeds
Get access

Summary

A summary is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Chapter
Information
Social Media and Mental Health , pp. 152 - 167
Publisher: Cambridge University Press
Print publication year: 2023

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Primary Sources

Wells, G., Horwitz, J, and Seetharaman, D, Facebook knows Instagram is toxic for teen girls, company documents show. 2021; Available from: www.wsj.com/articles/facebook-knows-instagram-is-toxic-for-teen-girls-company-documents-show-11631620739 (last accessed 7 May 2023).Google Scholar
Baym, N.K., Social media and the struggle for society. Social Media and Society, 2015. 1(1): p. 1–2.Google Scholar
Bercovici, J. Who coined social media? Web pioneers compete for credit. 9 December 2010; Available from: www.forbes.com/sites/jeffbercovici/2010/12/09/who-coined-social-media-web-pioneers-compete-for-credit/#1fada0c151d5 (last accessed 7 May 2023).Google Scholar
Jamieson, J., Many (to platform) to many: Web 2.0 application infrastructures. First Monday, 2016. 21(6).Google Scholar
Grossman, L., You – yes, you – are Time’s Person of the Year. 25 December 2006; Available from: http://content.time.com/time/magazine/article/0,9171,1570810,00.html (last accessed 7 May 2023).Google Scholar
Bruns, A., Blogs, Wikipedia, Second Life, and Beyond: From Production to Produsage. 2008, New York; Oxford: Peter Lang.Google Scholar
McLelland, M., Yu, H., and Goggin, G., Alternative histories of social media in Japan and China, in The SAGE Handbook of Social Media, Burgess, J, Marwick, A, and Poell, T, Editors. 2017, London; New York: SAGE. p. 53–68.Google Scholar
Boyd, D.M. and Ellison, N.B, Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication, 2007. 13(1): p. 210–230.Google Scholar
Miltner, K.M. and Gerrard, Y, “Tom had us all doing front-end web development”: A nostalgic (re)imagining of Myspace. Internet Histories, 2021. 21(6): p. 1–20.Google Scholar
Burgess, J., Marwick, A, and Poell, T, The SAGE Handbook of Social Media. 2017, London; New York: Sage.Google Scholar
Maris, E., Libert, T, and Henrichsen, J.R, Tracking sex: The implications of widespread sexual data leakage and tracking on porn websites. New Media and Society, 2020. 22(11): p. 2018–2038.CrossRefGoogle Scholar
Bell, K. How Sarahah became one of the most popular iPhone apps in the world. 23 July 2017; Available from: https://mashable.com/article/the-story-of-sarahah-app (last accessed 7 May 2023).Google Scholar
Gerrard, Y., ‘Too good to be true’: The challenges of regulating social media startups. In: Gillespie, T., et al. Expanding the debate about content moderation: Scholarly research agendas for the coming policy debates. Internet Policy Review, 2020. 9(4). DOI: 10.147. Available at SSRN: https://ssrn.com/abstract=4459448Google Scholar
Matamoros-Fernández, A., Inciting anger through Facebook reactions in Belgium: The use of emoji and related vernacular expressions in racist discourse. First Monday, 2018. 23(9).Google Scholar
Roberts, S.T., Behind the Screen: Content Moderation in the Shadows of Social Media. 2019, New Haven, CT: Yale University Press.Google Scholar
Gillespie, T., The politics of ‘platforms’. New Media and Society, 2010. 12(3): p. 347–364.CrossRefGoogle Scholar
McChesney, R.W., Digital Disconnect: How Capitalism Is Turning the Internet against Democracy. 2013, New York: New Press.Google Scholar
Gibbs, M., et al., #Funeral and Instagram: Death, social media, and platform vernacular. Information, Communication & Society, 2015. 18(3): p. 255–268.Google Scholar
Patelis, K., Political economy and monopoly abstractions: What social media demand, in Unlike Us Reader: Social Media Monopolies and Their Alternatives, Lovinik, G and Rasch, M, Editors. 2013, Amsterdam: Institute of Network Cultures. p. 117–126.Google Scholar
Hogan, B., Pseudonyms and the rise of the real-name Web, in A Companion to New Media Dynamics, Hartley, J., Burgess, J., and Bruns, A., Editors. 2013, Chichester: Wiley. p. 390–407.Google Scholar
Hine, C., Ethnography for the Internet: Embedded, Embodied and Everyday. 2015, London: Bloomsbury.Google Scholar
McCosker, A. and Gerrard, Y, Hashtagging depression on Instagram: Towards a more inclusive mental health research methodology. New Media and Society, 2020. 23(7): p. 1899–1919.CrossRefGoogle Scholar
Goffman, E., The Presentation of Self in Everyday Life. 1959, New York: Anchor Books.Google Scholar
Marwick, A.E. and Boyd, D, I tweet honestly, I tweet passionately: Twitter users, context collapse, and the imagined audience. New Media and Society, 2011. 13(1): p. 114–133.Google Scholar
Hogan, B., The presentation of self in the age of social media: Distinguishing performances and exhibitions online. Bulletin of Science, Technology and Society, 2010. 30(6): p. 377–386.Google Scholar
Van der Nagel, E., Alts and automediality: Compartmentalising the self through multiple social media platforms. M/C Journal, 2018. 21(2). Available at: https://doi.org/10.5204/mcj.1379Google Scholar
Ditchfield, H., Behind the screen of Facebook: Identity construction in the rehearsal stage of online interaction. New Media and Society, 2019. 22(6): p. 927–943.Google Scholar

Secondary Sources

The Committee Office and House of Lords, Communications Committee – First Report Social Media and Criminal Offences. 2014, London: The Stationery Office Ltd.Google Scholar
Suicide Act 1961 (9 & 10 Eliz 2 c 60). Available from: www.legislation.gov.uk/ukpga/Eliz2/9-10/60 (accessed 21 December 2022).Google Scholar
Law Commission, Reform of the Communications Offences. Available from: www.lawcom.gov.uk/project/reform-of-the-communications-offences/ (accessed 18 June 2022).Google Scholar
Law Commission, Modernising Communications Offences (Law Com No. 399, 2021). Available from: www.lawcom.gov.uk/ (last accessed 6 May 2023).Google Scholar
Draft UK Online Safety Bill. Available from: https://bills.parliament.uk/bills/3137 (accessed 18 June 2022).Google Scholar
Career Teachers, Social media guide for UK teachers. Available from: www.careerteachers.co.uk/-/media/careerteachers/images/social-media-guide-for-teachers.pdf (accessed 18 June 2022).Google Scholar
General Medical Council, Doctors’ use of social media. Available from: www.gmc-uk.org/ethical-guidance/ethical-guidance-for-doctors/doctors-use-of-social-media (accessed 18 June 2022).Google Scholar
Wu, J.T. and McCormick, J.B, Why health professionals should speak out against false beliefs on the Internet. AMA Journal of Ethics, 2018. 20(11): p. E1052–1058.Google ScholarPubMed
General Medical Council, Good medical practice. Available from: www.gmc-uk.org/ethical-guidance/ethical-guidance-for-doctors/good-medical-practice (accessed 18 June 2022).Google Scholar
British Medical Association, Social media, ethics and professionalism. 2018. Available at: www.bma.org.uk/media/1851/bma-ethics-guidance-on-social-media-2018.pdf (accessed 18 June 2022).Google Scholar
General Medical Council, Confidentiality: Good practice in handling patient information. Available at: www.gmc-uk.org/ethical-guidance/ethical-guidance-for-doctors/confidentiality (accessed 18 June 2022).Google Scholar
Human Rights Act 1998 (c.42), Article 8. Available at: www.legislation.gov.uk/ukpga/1998/42 (accessed 21 December 2022).Google Scholar
Medical Research Council Regulatory Support Centre, Identifiability, anonymisation and pseudonymisation. Available at: www.ukri.org/wp-content/uploads/2021/11/MRC-291121-GDPR-Identifiability-Anonymisation-Pseudonymisation.pdf (accessed 18 June 2022).Google Scholar
Parry, D., et al., A systematic review and meta-analysis of discrepancies between logged and self-reported digital media use. Nature Human Behaviour, 2021. 5(11): p. 1535–1547.CrossRefGoogle ScholarPubMed
Orben, A. and Przybylski, A.K, The association between adolescent well-being and digital technology use. Nature Human Behaviour, 2019. 3(2): p. 173–182.CrossRefGoogle ScholarPubMed
Vanden Abeele, M.M.P., Halfmann, A, and Lee, E.W.J, Drug, demon, or donut? Theorizing the relationship between social media use, digital well-being and digital disconnection. Current Opinion in Psychology, 2022. 45: p. 101295.Google Scholar
Ellis, D.A., Are smartphones really that bad? Improving the psychological measurement of technology-related behaviors. Computers in Human Behavior, 2019. 97: p. 60–66.Google Scholar
Bandura, A., Growing primacy of human agency in adaptation and change in the electronic era. European Psychologist, 2002. 7(1): p. 2–16.CrossRefGoogle Scholar
Nadkarni, A. and Hofmann, S.G, Why do people use Facebook? Personality and Individual Differences, 2012. 52(3): p. 243–249.Google Scholar
Rosenfeld, M.J., Thomas, R.J., and Hausen, S, Disintermediating your friends: How online dating in the United States displaces other ways of meeting. Proceedings of the National Academy of Sciences, 2019. 116(36): p. 17753–17758.Google Scholar
Joinson, A.N., Looking at, looking up or keeping up with people? Motives and use of Facebook, in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 2008, Florence, Italy: Association for Computing Machinery. p. 1027–1036.Google Scholar
Orchard, L.J., et al., Individual differences as predictors of social networking. Journal of Computer-Mediated Communication, 2014. 19(3): p. 388–402.Google Scholar
Seidman, G., Self-presentation and belonging on Facebook: How personality influences social media use and motivations. Personality and Individual Differences, 2013. 54(3): p. 402–407.Google Scholar
Davidson, B.I. and Joinson, A.N, Shape shifting across social media. Social Media and Society, 2021. 7(1): p. 2056305121990632.Google Scholar
Hoffman, B.L., et al., “Their page is still up”: Social media and coping with loss. Journal of Loss and Trauma, 2021. 26(5): p. 451–468.Google Scholar
Treré, E., Intensification, discovery and abandonment: Unearthing global ecologies of dis/connection in pandemic times. Convergence, 2021. 27(6): p. 1663–1677.Google Scholar
Büchi, M. and Hargittai, E, A need for considering digital inequality when studying social media use and well-being. Social Media and Society, 2022. 8(1): p. 20563051211069125.Google Scholar
Blank, G. and Lutz, C, Representativeness of social media in Great Britain: Investigating Facebook, LinkedIn, Twitter, Pinterest, Google+, and Instagram. American Behavioural Scientist, 2017. 61(7): p. 741–756.Google Scholar
Lazer, D.M.J., et al., The science of fake news. Science, 2018. 359(6380): p. 1094–1096.Google Scholar
Scharkow, M., et al., How social network sites and other online intermediaries increase exposure to news. Proceedings of the National Academy of Sciences, 2020. 117(6): p. 2761–2763.CrossRefGoogle ScholarPubMed
Vasalou, A. and Joinson, A.N, Me, myself and I: The role of interactional context on self-presentation through avatars. Computers in Human Behavior, 2009. 25(2): p. 510–520.Google Scholar
McEwan, B. and Carpenter, C.J, Networked maintenance: The effect of Facebook relational maintenance on network centrality. Communication Studies, 2020. 71(2): p. 187–202.CrossRefGoogle Scholar
Taylor, S.H. and Bazarova, N.N, Always available, always attached: A relational perspective on the effects of mobile phones and social media on subjective well-being. Journal of Computer-Mediated Communication, 2021. 26(4): p. 187–206.Google Scholar
Halfmann, A. and Rieger, D, Permanently on call: The effects of social pressure on smartphone users’ self-control, need satisfaction, and well-being. Journal of Computer-Mediated Communication, 2019. 24(4): p. 165–181.Google Scholar
Matassi, M., Boczkowski, P.J, and Mitchelstein, E, Domesticating WhatsApp: Family, friends, work, and study in everyday communication. New Media & Society, 2019. 21(10): p. 2183–2200.Google Scholar
Horvát, E.-Á. and Hargittai, E, Birds of a feather flock together online: Digital inequality in social media repertoires. Social Media and Society, 2021. 7(4): p. 20563051211052897.Google Scholar
Barros, P.B., et al., Circumspect users: Older adults as critical adopters and resistors of technology, in Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 2021, Yokohama, Japan: Association for Computing Machinery. p. 1–14.Google Scholar
Bayer, J.B., Anderson, I.A, and Tokunaga, R.S, Building and breaking social media habits. Current Opinion in Psychology, 2022. 45: p. 101303.CrossRefGoogle ScholarPubMed
Hinds, J., et al., Integrating insights about human movement patterns from digital data into psychological science. Current Directions in Psychological Science, 2021. 31(1): p. 88–95.Google Scholar
Taylor, S.H., Zhao, P, and Bazarova, N.N, Social media and close relationships: A puzzle of connection and disconnection. Current Opinion in Psychology, 2022. 45: p. 101292.CrossRefGoogle ScholarPubMed
Haythornthwaite, C., Exploring multiplexity: Social network structures in a computer-supported distance learning class. The Information Society, 2001. 17(3): p. 211–226.Google Scholar
Kubovy, M., Lives as collections of strands: An essay in descriptive psychology. Perspectives on Psychological Science, 2020. 15(2): p. 497–515.CrossRefGoogle ScholarPubMed
Karhulahti, V.-M., Registered reports for qualitative research. Nature Human Behaviour, 2022. 6(1): p. 4–5.Google Scholar
Vuorre, M., Orben, A, and Przybylski, A.K, There is no evidence that associations between adolescents’ digital technology engagement and mental health problems have increased. Clinical Psychological Science, 2021. 9(5): p. 823–835.CrossRefGoogle ScholarPubMed
Dahl, S., Social Media Marketing, Theories and Applications. 2015, London: Sage Publishing.Google Scholar
Habermas, J., Theory of Communicative Action, Volume One: Reason and the Rationalization of Society. Translated by Thomas A. McCarthy. 1981, Boston, MA: Beacon Press.Google Scholar
Horton, D. and Wohl, R.R, Mass communication and para-social interaction; Observations on intimacy at a distance. Psychiatry, 1956. 19(3): p. 215–229.CrossRefGoogle ScholarPubMed
Lueck, J.A., Friend-zone with benefits: The parasocial advertising of Kim Kardashian. Journal of Marketing Communications, 2012. 21(2): p. 91–109.Google Scholar
Ad Council. Popular TikTok creators join #AloneTogether campaign to address mental health challenges during COVID-19 crisis. 12 May 2020; Available from: www.adcouncil.org/learn-with-us/press-releases/popular-tiktok-creators-join-alonetogether-campaign-to-address-mental-health-challenges-during-covid-19-crisis (last accessed 8 May 2023).Google Scholar
Fogg, B.J., Persuasive technologies. Communications of the ACM, 1999. 42(5): p. 26–29.Google Scholar
Torning, K. and Oinas-Kukkonen, H, Persuasive system design: State of the art and future directions, in Proceedings of the 4th International Conference on Persuasive Technology, Association for Computing Machinery. 2009, Claremont, CA.Google Scholar
Sharma, M.K., John, N, and Sahu, M, Influence of social media on mental health: A systematic review. Current Opinion in Psychiatry, 2020. 33(5): p. 467–475.Google Scholar
Bekalu, M.A., McCloud, R.F, and Viswanath, K, Association of social media use with social well-being, positive mental health, and self-rated health: Disentangling routine use from emotional connection to use. Health Education & Behavior, 2019. 46(2_suppl): p. 69S–80S.Google Scholar
Andreassen, C.S., Pallesen, S, and Griffiths, M.D, The relationship between addictive use of social media, narcissism, and self-esteem: Findings from a large national survey. Addictive Behaviors, 2017. 64: p. 287–293.CrossRefGoogle ScholarPubMed
Andreassen, C.S., Online social network site addiction: A comprehensive review. Current Addiction Reports, 2015. 2(2): p. 175–184.Google Scholar
Pantic, I., Social networking and depression: An emerging issue in behavioral physiology and psychiatric research. The Journal of Adolescent Health, 2014. 54(6): p. 745–746.Google Scholar
Churchman, C.W., Wicked problems. Management Science, 1967. 14(4): p. 141–142.Google Scholar
Hagi, S. Cancel culture is not real – at least not in the way people think. 21 November 2019; Available from: https://time.com/5735403/cancel-culture-is-not-real/ (last accessed 7 May 2023).Google Scholar
The International Society for Mental Health Online (ISMHO). About ISMHO. 2021; Available from: https://ismho.org/ismho/about-ismho/ (last accessed 7 May 2023).Google Scholar
Grönroos, C. and Voima, P, Critical service logic: Making sense of value creation and co-creation. Journal of the Academy of Marketing Science, 2013. 41(2): p. 133–150.Google Scholar
Vivaldi Partners Group. What is social currency? [cited 15 October 2021]; Available from: www.vivaldipartners.com/vpsocialcurrency/abo.Google Scholar
Freeman, B., et al., Social media campaigns that make a difference: What can public health learn from the corporate sector and other social change marketers? Public Health Research and Practice, 2015. 25(2): p. e2521517.Google Scholar
Obar, J.A., Zube, P, and Lampe, C, Advocacy 2.0: An analysis of how advocacy groups in the United States perceive and use social media as tools for facilitating civic engagement and collective action. Journal of Information Policy, 2012. 2: p. 1–25.Google Scholar
French, J. and Gordon, R, Strategic Social Marketing. 2020, Los Angeles: Sage.Google Scholar
Biddle, L., et al., Using the Internet for suicide-related purposes: Contrasting findings from young people in the community and self-harm patients admitted to hospital. PLoS ONE, 2018. 13(5): p. e0197712.Google Scholar
Räisänen, U. and Hunt, K, The role of gendered constructions of eating disorders in delayed help-seeking in men: A qualitative interview study. BMJ Open, 2014. 4(4): p. e004342.Google Scholar
O’Reilly, M., et al., Is social media bad for mental health and wellbeing? Exploring the perspectives of adolescents. Clinical Child Psychology and Psychiatry, 2018. 23(4): p. 601–613.Google Scholar
Lavis, A. and Winter, R, #Online harms or benefits? An ethnographic analysis of the positives and negatives of peer-support around self-harm on social media. Journal of Child Psychology and Psychiatry, 2020. 61(8): p. 842–854.Google Scholar
Braun, V. and Clarke, V, One size fits all? What counts as quality practice in (reflexive) thematic analysis? Qualitative Research in Psychology, 2021. 18(3): p. 328–352.Google Scholar
Jacob, N., Evans, R, and Scourfield, J, The influence of online images on self-harm: A qualitative study of young people aged 16–24. Journal of Adolescence, 2017. 60: p. 140–147.Google Scholar
Heyes, K., Socialization or social isolation?: Mental health community support in the digital age, in Research Anthology on Mental Health Stigma, Education, and Treatment, I.R. Management Association, Editor. 2021, Hershey, PA: IGI Global. p. 360–380.Google Scholar
Brennan, C., et al., Self-harm and suicidal content online, harmful or helpful? A systematic review of the recent evidence. Journal of Public Mental Health, 2022. 21(1): p. 57–69.Google Scholar
Arendt, F., Suicide on Instagram – Content analysis of a German suicide-related hashtag. Crisis: Journal of Crisis Intervention & Suicide, 2019. 40(1): p. 36–41.Google Scholar
Kędra, J., To see more: A model for press photograph story analysis. Journal of Visual Literacy, 2013. 32(1): p. 27–50.Google Scholar
Rose, G., Visual Methodologies: An Introduction to Researching with Visual Materials. 4th ed. 2016, Oxford, UK: SAGE Publishing.Google Scholar
Shanahan, N., Brennan, C, and House, A, Self-harm and social media: Thematic analysis of images posted on three social media sites. BMJ Open, 2019. 9(2): p. e027006.Google Scholar
Ellis, D.A., Are smartphones really that bad? Improving the psychological measurement of technology-related behaviors. Computers in Human Behavior, 2019. 97: p. 60–66.Google Scholar
Eccles, D.W. and Arsal, G, The think aloud method: What is it and how do I use it? Qualitative Research in Sport, Exercise and Health, 2017. 9(4): p. 514–531.Google Scholar
Bowers, D., et al., Understanding Clinical Papers. 4th ed. 2020, Chichester: John Wiley & Sons.Google Scholar
Marshall, J.M., Dunstan, D.A, and Bartik, W, Effectiveness of using mental health mobile apps as digital antidepressants for reducing anxiety and depression: Protocol for a multiple baseline across-individuals design. JMIR Research Protocols, 2020. 9(7): p. e17159.Google Scholar
Hawton, K., et al., Clustering of suicides in children and adolescents. The Lancet Child and Adolescent Health, 2020. 4(1): p. 58–67.CrossRefGoogle ScholarPubMed
Jones, P., et al., Identifying probable suicide clusters in Wales using national mortality data. PLoS One, 2013. 8(8): p. e71713.Google Scholar
Mars, B., et al., Exposure to, and searching for, information about suicide and self-harm on the Internet: Prevalence and predictors in a population based cohort of young adults. Journal of Affective Disorders, 2015. 185: p. 239–245.Google Scholar
Ma, X. and Sayama, H, Mental disorder recovery correlated with centralities and interactions on an online social network. PeerJ, 2015. 3: p. e1163–e1163.CrossRefGoogle Scholar
Doll, R. and Hill, A.B, Smoking and carcinoma of the lung. British Medical Journal, 1950. 2(4682): p. 739–748.Google Scholar
Yao, B., et al., Freshman year mental health symptoms and level of adaptation as predictors of internet addiction: A retrospective nested case-control study of male Chinese college students. Psychiatry Research, 2013. 210(2): p. 541–547.CrossRefGoogle ScholarPubMed
Thom, R.P., Bickham, D.S, and Rich, M, Internet use, depression, and anxiety in a healthy adolescent population: Prospective cohort study. JMIR Mental Health, 2018. 5(2): p. e44.Google Scholar
Bridge, J.A., et al., Association between the release of Netflix’s 13 Reasons Why and suicide rates in the United States: An interrupted time series analysis. Journal of the American Academy of Child & Adolescent Psychiatry, 2020. 59(2): p. 236–243.Google Scholar
Till, B., et al., Beneficial and harmful effects of educative suicide prevention websites: Randomised controlled trial exploring Papageno v. Werther effects. British Journal of Psychiatry, 2017. 211(2): p. 109–115.Google Scholar
Arendt, F., Scherr, S, and Romer, D, Effects of exposure to self-harm on social media: Evidence from a two-wave panel study among young adults. New Media and Society, 2019. 21(11–12): p. 2422–2442.Google Scholar
Escobar-Viera, C.G., et al., Association between LGB sexual orientation and depression mediated by negative social media experiences: National Survey Study of US young adults. JMIR Mental Health, 2020. 7(12): p. e23520.Google Scholar
Stapelberg, N.J.C., et al., Efficacy of the Zero Suicide framework in reducing recurrent suicide attempts: Cross-sectional and time-to-recurrent-event analyses. The British Journal of Psychiatry, 2020. 219(2): p. 427–436.Google Scholar
Rheingold, H., Attention, and other 21st-century social media literacies. Educational Review, 2010. 45: p. 14.Google Scholar
Ofcom, Online Nation 2020 Report. 2020. p. 176.Google Scholar
Willard, N., Cyberbullying and Cyberthreats: Responding to the Challenge of Online Social Aggression, Threats, and Distress. 2007. Champaign, IL: Research Press.Google Scholar
Jenaro, C., Flores, N, and Butrón, C. Frias, Systematic review of empirical studies on cyberbullying in adults: What we know and what we should investigate. Aggression and Violent Behavior, 2018. 38: p. 113–122.Google Scholar
Betts, L.R., Baguley, T, and Gardner, S.E, Examining adults’ participant roles in cyberbullying. Journal of Social and Personal Relationships, 2019. 36(11–12): p. 3362–3370.Google Scholar
Pacheco, E., Melhuish, N, and Fiske, J, Digital self-harm: prevalence, motivations and outcomes for teens who cyberbully themselves. 1 May 2019, Netsafe: https://apo.org.au/node/252376 (last accessed 7 May 2023).Google Scholar
Mori, C., et al., The prevalence of sexting behaviors among emerging adults: A meta-analysis. Archives of Sexual Behaviour, 2020. 49(4): p. 1103–1119.Google Scholar
Livingstone, S., et al., In their own words: What bothers children online? European Journal of Communication, 2014. 29(3): p. 271–288.Google Scholar
Madigan, S., et al., Prevalence of multiple forms of sexting behavior among youth: A systematic review and meta-analysis. JAMA Pediatrics, 2018. 172(4): p. 327–335.Google Scholar
Gámez-Guadix, M. and Mateos-Pérez, E, Longitudinal and reciprocal relationships between sexting, online sexual solicitations, and cyberbullying among minors. Computers in Human Behavior, 2019. 94: p. 70–76.Google Scholar
Klettke, B., Hallford, D.J, and Mellor, D.J, Sexting prevalence and correlates: A systematic literature review. Clinical Psychology Review, 2014. 34(1): p. 44–53.Google Scholar
Pennycook, G. and Rand, D.G, The psychology of fake news. Trends in Cognitive Sciences, 2021. 25(5): p. 388–402.Google Scholar
Apuke, O.D. and Omar, B, Fake news and COVID-19: Modelling the predictors of fake news sharing among social media users. Telematics and Informatics, 2021. 56: p. 101475–101475.Google Scholar
Berryman, C., Ferguson, C.J, and Negy, C, Social media use and mental health among young adults. Psychiatric Quarterly, 2018. 89(2): p. 307–314.CrossRefGoogle ScholarPubMed
Gao, J., et al., Mental health problems and social media exposure during COVID-19 outbreak. PLoS One, 2020. 15(4): p. e0231924.Google Scholar
Piazza, J.A., Fake news: The effects of social media disinformation on domestic terrorism. Dynamics of Asymmetric Conflict, 2021. 15(1): p. 55–77.Google Scholar
Singer, P., et al. Why we read Wikipedia, in Proceedings of the 26th International Conference on World Wide Web. 2017. p. 1591–1600.Google Scholar
Zhao, Y. and Zhang, J, Consumer health information seeking in social media: A literature review. Health Information and Libraries Journal, 2017. 34(4): p. 268–283.Google Scholar
Liu, D., Ainsworth, S.E, and Baumeister, R.F, A meta-analysis of social networking online and social capital. Review of General Psychology, 2016. 20(4): p. 369–391.Google Scholar
Alencar, A., Refugee integration and social media: A local and experiential perspective. Information, Communication & Society, 2018. 21(11): p. 1588–1603.Google Scholar
Higgins, E.T., Self-discrepancy: A theory relating self and affect. Psychological Review, 1987. 94(3): p. 319–340.Google Scholar
Twomey, C. and O’Reilly, G, Associations of self-presentation on Facebook with mental health and personality variables: A systematic review. Cyberpsychology, Behavior and Social Networking, 2017. 20(10): p. 587–595.Google Scholar
Reinecke, L. and Trepte, S, Authenticity and well-being on social network sites: A two-wave longitudinal study on the effects of online authenticity and the positivity bias in SNS communication. Computers in Human Behavior, 2014. 30: p. 95–102.Google Scholar
Lucero, L., Safe spaces in online places: Social media and LGBTQ youth. Multicultural Education Review, 2017. 9(2): p. 117–128.CrossRefGoogle Scholar
Furr, J.B., Carreiro, A, and McArthur, J.A, Strategic approaches to disability disclosure on social media. Disability & Society, 2016. 31(10): p. 1353–1368.Google Scholar
Caton, S. and Chapman, M, The use of social media and people with intellectual disability: A systematic review and thematic analysis. Journal of Intellectual & Developmental Disability, 2016. 41(2): p. 125–139.Google Scholar
Heffer, T., et al., The longitudinal association between social-media use and depressive symptoms among adolescents and young adults: An empirical reply to Twenge et al. (2018). Clinical Psychological Science, 2019. 7(3): p. 462–470.CrossRefGoogle Scholar
Radloff, L.S., The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1977. 1(3): p. 385–401.Google Scholar
Cunningham, S., Hudson, C.C, and Harkness, K, Social media and depression symptoms: A meta-analysis. Research on Child and Adolescent Psychopathology, 2021. 49(2): p. 241–253.Google Scholar
Vidal, C., et al., Social media use and depression in adolescents: A scoping review. International Review of Psychiatry, 2020. 32(3): p. 235–253.CrossRefGoogle ScholarPubMed
Valkenburg, P.M., Meier, A, and Beyens, I, Social media use and its impact on adolescent mental health: An umbrella review of the evidence. Current Opinion in Psychology, 2021. 44: p. 58–68.Google Scholar
Jelenchick, L., Eickhoff, J.C, and Moreno, M.A, “Facebook depression?” Social networking site use and depression in older adolescents. Journal of Adolescent Health, 2013. 52(1): p. 128–130.Google Scholar
Berryman, C., Ferguson, C.J, and Negy, C, Social media use and mental health among young adults. Psychiatric Quarterly, 2018. 89(2): p. 307–314.Google Scholar
Orben, A., Dienlin, T, and Przybylski, A.K, Social media’s enduring effect on adolescent life satisfaction. Proceedings of the National Academy of Sciences, 2019. 116(21): p. 10226–10228.Google Scholar
Vernon, L., Modecki, K, and Barber, B, Tracking effects of problematic social networking on adolescent psychopathology: The mediating role of sleep disruptions. Journal of Clinical Child & Adolescent Psychology, 2017. 46(2): p. 269–283.Google Scholar
Perlis, R.H., et al., Association between social media use and self-reported symptoms of depression in US adults. JAMA Network Open, 2021. 4(11): p. e2136113.Google Scholar
Primack, B.A., et al., Temporal associations between social media use and depression. American Journal of Preventive Medicine, 2021. 60(2): p. 179–188.Google Scholar
Primack, B.A., et al., Use of multiple social media platforms and symptoms of depression and anxiety: A nationally-representative study among U.S. young adults. Computers in Human Behavior, 2017. 69: p. 1–9.Google Scholar
Escobar-Viera, C.G., et al., Passive and active social media use and depressive symptoms among United States adults. Cyberpsychology, Behavior, and Social Networking, 2018. 21(7): p. 437–443.Google Scholar
Livingstone, S., et al., In their own words: What bothers children online? European Journal of Communication, 2014. 29(3): p. 271–288.Google Scholar
Alonzo, R., et al., Interplay between social media use, sleep quality, and mental health in youth: A systematic review. Sleep Medicine Reviews, 2021. 56: p. 101414.Google Scholar
Lovato, N. and Gradisar, M, A meta-analysis and model of the relationship between sleep and depression in adolescents: Recommendations for future research and clinical practice. Sleep Medicine Reviews, 2014. 18(6): p. 521–529.Google Scholar
Shensa, A., et al., Emotional support from social media and face-to-face relationships: Associations with depression risk among young adults. Journal of Affective Disorders, 2020. 260: p. 38–44.Google Scholar
Valkenburg, P., Peter, J, and Walther, J, Media effects: Theory and research. Annual Review of Psychology, 2016. 67: p. 315–338.Google Scholar
Göritz, A.S. and Moser, K, Web-based mood induction. Cognition and Emotion, 2006. 20(6): p. 887–896.Google Scholar
Bell, A.C. and D’Zurilla, T.J, Problem-solving therapy for depression: A meta-analysis. Clinical Psychology Review, 2009. 29(4): p. 348–353.Google Scholar
Thompson, J.K., et al., Exacting Beauty: Theory, Assessment, and Treatment of Body Image Disturbance. 1999, Washington, DC: American Psychological Association.Google Scholar
Bourdieu, P., The forms of capital, in Handbook of Theory and Research for the Sociology of Education, Richardson, J.G, Editor. 1986, New York: Greenwood Press. p. 241–258.Google Scholar
Rubin, A.M., Media uses and effects: A uses-and-gratifications perspective, in Media Effects: Advances in Theory and Research, Bryant, J. and Zillmann, D, Editors. 1994, New Jersey: Lawrence Erlbaum Associates, Inc. p. 525–548.Google Scholar
Paxton, S., McLean, S.A., and Rodgers, R, “My critical filter buffers your app filter”: Social media literacy as a protective factor for body image. Body Image, 2022. 40: p. 158–164.Google Scholar
Saiphoo, A.N. and Vahedi, Z, A meta-analytic review of the relationship between social media use and body image disturbance. Computers in Human Behavior, 2019. 101: p. 259–275.Google Scholar
de Valle, M.K., et al., Social media, body image, and the question of causation: Meta-analyses of experimental and longitudinal evidence. Body Image, 2021. 39: p. 276–292.Google Scholar
Burnette, C.B., Kwitowski, M.A, and Mazzeo, S.E, “I don’t need people to tell me I’m pretty on social media”: A qualitative study of social media and body image in early adolescent girls. Body Image, 2017. 23: p. 114–125.Google Scholar
Feltman, C.E. and Szymanski, D.M., Instagram use and self-objectification: The roles of internalization, comparison, appearance commentary, and feminism. Sex Roles, 2018. 78(5): p. 311–324.Google Scholar
Rodgers, R.F. and Rousseau, A, Social media and body image: Modulating effects of social identities and user characteristics. Body Image, 2022. 41: p. 284–291.Google Scholar
Rodgers, R.F., Paxton, S.J, and Wertheim, E.H, #Take idealized bodies out of the picture: A scoping review of social media content aiming to protect and promote positive body image. Body Image, 2021. 38: p. 10–36.Google Scholar
Norris, M.L., et al., Ana and the Internet: A review of pro-anorexia websites. International Journal of Eating Disorders, 2006. 39(6): p. 443–447.Google Scholar
Mento, C., et al., Psychological impact of pro-anorexia and pro-eating disorder websites on adolescent females: A systematic review. International Journal of Environmental Research and Public Health, 2021. 18(4): p. 2186.Google Scholar
Linardon, J., et al., E-mental health interventions for the treatment and prevention of eating disorders: An updated systematic review and meta-analysis. Journal of Consulting and Clinical Psychology, 2020. 88(11): p. 994–1007.Google Scholar
National Eating Disorder Association. Help & support. 2018; Available from: www.nationaleatingdisorders.org/help-support (last accessed 7 May 2023).Google Scholar
Potenza, M.N., et al., Gambling disorder. Nature Reviews Disease Primers, 2019. 5(1): p. 51.Google Scholar
Gainsbury, S.M., Online gambling addiction: The relationship between internet gambling and disordered gambling. Current Addiction Reports, 2015. 2(2): p. 185–193.Google Scholar
Calado, F. and Griffiths, M.D, Problem gambling worldwide: An update and systematic review of empirical research (2000–2015). Journal of Behavioral Addictions, 2016. 5(4): p. 592–613.Google Scholar
Goodwin, B., et al., A typical problem gambler affects six others. International Gambling Studies, 2017. 17(2): p. 276–289.CrossRefGoogle Scholar
Hodgins, D.C., Stea, J.N, and Grant, J.E, Gambling disorders. The Lancet, 2011. 378(9806): p. 1874–1884.Google Scholar
Lorains, F.K., Cowlishaw, S, and Thomas, S.A, Prevalence of comorbid disorders in problem and pathological gambling: Systematic review and meta-analysis of population surveys. Addiction, 2011. 106(3): p. 490–498.Google Scholar
Gainsbury, S.M., Tobias-Webb, J, and Slonim, R, Behavioral economics and gambling: A new paradigm for approaching harm-minimization. Gaming Law Review, 2018. 22(10): p. 608–617.Google Scholar
Wardle, H., et al., Gambling and public health: We need policy action to prevent harm. British Medical Journal, 2019. 365: p. l1807.Google Scholar
Rossi, R., et al., “Get a £10 free bet every week!” – gambling advertising on Twitter: Volume, content, followers, engagement, and regulatory compliance. Journal of Public Policy & Marketing, 2021. 40(4): p. 487–504.Google Scholar
Bouguettaya, A., et al., The relationship between gambling advertising and gambling attitudes, intentions and behaviours: A critical and meta-analytic review. Current Opinion in Behavioral Sciences, 2020. 31: p. 89–101.Google Scholar
Ipsos MORI. The effect of gambling marketing and advertising on children, young people and vulnerable adults. 2020; Available from: www.begambleaware.org/media/2160/the-effect-of-gambling-marketing-and-advertising-synthesis-report_final.pdf (last accessed 7 May 2023).Google Scholar
James, R.J.E. and Bradley, A, The use of social media in research on gambling: A systematic review. Current Addiction Reports, 2021. 8(2): p. 235–245.Google Scholar
Torrance, J., et al., Emergent gambling advertising: A rapid review of marketing content, delivery and structural features. BMC Public Health, 2021. 21(1): p. 718.Google Scholar
Hörnle, J., et al., Regulating online advertising for gambling – once the genie is out of the bottle… Information & Communications Technology Law, 2019. 28(3): p. 311–334.Google Scholar
Houghton, S., et al., Comparing the Twitter posting of British gambling operators and gambling affiliates: A summative content analysis. International Gambling Studies, 2019. 19(2): p. 312–326.Google Scholar
Hollingshead, S., et al., Motives for playing social casino games and the transition from gaming to gambling (or vice versa): Social casino game play as harm reduction? Journal of Gambling Issues, 2021. 46: p. 43–61.Google Scholar
King, D.L. and Delfabbro, P.H, Early exposure to digital simulated gambling: A review and conceptual model. Computers in Human Behavior, 2016. 55: p. 198–206.Google Scholar
King, D. and Delfabbro, P, The convergence of gambling and monetised gaming activities. Current Opinion in Behavioral Sciences, 2020. 31: p. 32–36.Google Scholar
Abarbanel, B. and Johnson, M.R, Gambling engagement mechanisms in Twitch live streaming. International Gambling Studies, 2020. 20(3): p. 393–413.Google Scholar
Sirola, A., et al., The role of virtual communities in gambling and gaming behaviors: A systematic review. Journal of Gambling Studies, 2021. 37(1): p. 165–187.Google Scholar
Blank, L., et al., Interventions to reduce the public health burden of gambling-related harms: A mapping review. Lancet Public Health, 2021. 6(1): p. e50–e63.Google Scholar
Swanton, T.B., et al., Problematic risk-taking involving emerging technologies: A stakeholder framework to minimize harms. Journal of Behavioral Addictions, 2020. 9(4): p. 869–875.Google Scholar
Muehlenkamp, J.J., et al., International prevalence of adolescent non-suicidal self-injury and deliberate self-harm. Child and Adolescent Psychiatry and Mental Health, 2012. 6(1): p. 10.Google Scholar
Carr, M.J., et al., The epidemiology of self-harm in a UK-wide primary care patient cohort, 2001–2013. BMC Psychiatry, 2016. 16(1): p. 53.Google Scholar
Morgan, C., et al., Incidence, clinical management, and mortality risk following self harm among children and adolescents: Cohort study in primary care. BMJ, 2017. 359: p. j4351.Google Scholar
Arensman, E., et al., Factors associated with self-cutting as a method of self-harm: Findings from the Irish National Registry of Deliberate Self-Harm. European Journal of Public Health, 2014. 24(2): p. 292–297.Google Scholar
Owens, D., et al., Switching methods of self-harm at repeat episodes: Findings from a multicentre cohort study. Journal of Affective Disorders, 2015. 180: p. 44–51.Google Scholar
World Health Organization (WHO), Suicide worldwide in 2019: Global health estimates. 16 June 2021; Available from: www.who.int/publications/i/item/9789240026643 (last accessed 7 May 2023).Google Scholar
Hawton, K., et al., Suicide following self-harm: Findings from the Multicentre Study of self-harm in England, 2000–2012. Journal of Affective Disorders, 2015. 175: p. 147–151.Google Scholar
Shanahan, N., Brennan, C, and House, A, Self-harm and social media: Thematic analysis of images posted on three social media sites. BMJ Open, 2019. 9(2): p. e027006.Google Scholar
Geulayov, G., et al., Incidence of suicide, hospital-presenting non-fatal self-harm, and community-occurring non-fatal self-harm in adolescents in England (the iceberg model of self-harm): A retrospective study. Lancet Psychiatry, 2018. 5(2): p. 167–174.Google Scholar
Brennan, C., et al., Self-harm and suicidal content online, harmful or helpful? A systematic review of the recent evidence. Journal of Public Mental Health, 2022. 21(1): p. 57–69.Google Scholar
Lavis, A. and Winter, R, #Online harms or benefits? An ethnographic analysis of the positives and negatives of peer-support around self-harm on social media. Journal of Child Psychology and Psychiatry, 2020. 61(8): p. 842–854.CrossRefGoogle ScholarPubMed
Berman, R. and Katona, Z, Curation algorithms and filter bubbles in social networks. Marketing Science, 2020. 39(2): p. 296–316.Google Scholar
Arendt, F., Scherr, S, and Romer, D, Effects of exposure to self-harm on social media: Evidence from a two-wave panel study among young adults. New Media & Society, 2019. 21(11–12): p. 2422–2442.Google Scholar
Biddle, L., et al., Online help for people with suicidal thoughts provided by charities and healthcare organisations: A qualitative study of users’ perceptions. Social Psychiatry and Psychiatric Epidemiology, 2020. 55(9): p. 1157–1166.Google Scholar
Adams, R., Social media urged to take ‘moment to reflect’ after girl’s death, in The Guardian. 30 January 2019; Available from: www.theguardian.com/media/2019/jan/30/social-media-urged-to-take-moment-to-reflect-after-girls-death (last accessed 7 May 2023).Google Scholar
eSafety Commissioner. Best Practice Framework for Online Safety Education. n.d. [cited 14 April 2022]; Available from: www.esafety.gov.au/educators/best-practice-framework (last accessed 7 May 2023).Google Scholar
esafety Commissioner. Safety by Design. n.d. [cited 14 April 2022]; Available from: www.esafety.gov.au/industry/safety-by-design (last accessed 7 May 2023).Google Scholar
Facebook. Safety@Facebook. 2022 [cited 14 April 2022]; Available from: www.facebook.com/safety (last accessed 7 May 2023).Google Scholar
Instagram. Safety. 2022 [cited 14 April 2022]; Available from: https://about.instagram.com/safety (last accessed 7 May 2023).Google Scholar
Snapchat. Snapchat Safety Centre. 2022 [cited 14 April 2022]; Available from: https://snap.com/en-US/safety/safety-center (last accessed 7 May 2023).Google Scholar
TikTok. Safety Centre. 2022 [cited 14 April 2022]; Available from: www.tiktok.com/safety/en/ (last accessed 7 May 2023).Google Scholar
Robinson, J., et al., Social media and suicide prevention: A systematic review. Early Intervention in Psychiatry, 2016. 10(2): p. 103–121.Google Scholar
Thorn, P., et al., Developing a suicide prevention social media campaign with young people (the #Chatsafe project): Co-design approach. JMIR Mental Health, 2020. 7(5): p. e17520.Google Scholar
Bailey, E., et al., An enhanced social networking intervention for young people with active suicidal ideation: Safety, feasibility and acceptability outcomes. International Journal of Environmental Research and Public Health, 2020. 17(7): p. 2435.Google Scholar
La Sala, L., et al., Can a social media intervention improve online communication about suicide? A feasibility study examining the acceptability and potential impact of the #chatsafe campaign. PLoS ONE, 2021. 16(6): p. e0253278.Google Scholar
Robinson, J., et al., The #chatsafe project. Developing guidelines to help young people communicate safely about suicide on social media: A Delphi study. PLoS One, 2018. 13(11): p. e0206584.Google Scholar
Orygen. #chatsafe resources. 2022; Available from: www.orygen.org.au/chatsafe/Resources (last accessed 7 May 2023).Google Scholar
Johansson, L., Lindqvist, P, and Eriksson, A, Teenage suicide cluster formation and contagion: Implications for primary care. BMC Family Practice, 2006. 7(1): p. 32.Google Scholar
Pirkis, J.E., et al., The relationship between media reporting of suicide and actual suicide in Australia. Social Science & Medicine, 2006. 62(11): p. 2874–2886.Google Scholar
Robinson, J., et al., Developing social media-based suicide prevention messages in partnership with young people: Exploratory study. JMIR Mental Health, 2017. 4(4): p. e40.Google Scholar
Polanczyk, G.V., et al., Annual research review: A meta-analysis of the worldwide prevalence of mental disorders in children and adolescents. Journal of Child Psychology and Psychiatry, 2015. 56(3): p. 345–365.Google Scholar
Collishaw, S. and Sellers, R, Trends in child and adolescent mental health prevalence, outcomes, and inequalities, in Mental Health and Illness of Children and Adolescents, Taylor, E, et al., Editors. 2020, Singapore: Springer Singapore. p. 1–11.Google Scholar
Whitehorne-Smith, P. and Irons-Morgan, M, Final Report: Risk Factors Associated with Youth Suicidality in Jamaica. 2014, UNICEF: www.unicef.org/jamaica/reports/final-report-risk-factors-associated-youth-suicidality-jamaica (last accessed 7 May 2023).Google Scholar
Rideout, V., Measuring time spent with media: The Common Sense census of media use by US 8- to 18-year-olds. Journal of Children and Media, 2016. 10(1): p. 138–144.Google Scholar
Lee, J., Mental health effects of school closures during COVID-19. The Lancet Child and Adolescent Health, 2020. 4(6): p. 421.Google Scholar
The American College of Obstetricians and Gynecologists (ACOG). Mental Health Disorders in Adolescents. 2021 [cited 16 November 2021]; Available from: www.acog.org/en/clinical/clinical-guidance/committee-opinion/articles/2017/07/mental-health-disorders-in-adolescents (last accessed 7 May 2023).Google Scholar
World Health Organization (WHO). Adolescent mental health. 2020 [cited 16 November 2021]; Available from: www.who.int/news-room/fact-sheets/detail/adolescent-mental-health (last accessed 7 May 2023).Google Scholar
Whittaker, R., et al., MEMO: An mHealth intervention to prevent the onset of depression in adolescents: A double-blind, randomised, placebo-controlled trial. Journal of Child Psychology and Psychiatry, 2017. 58(9): p. 1014–1022.Google Scholar
O’Dea, B., et al., A randomised controlled trial of a relationship-focussed mobile phone application for improving adolescents’ mental health. Journal of Child Psychology and Psychiatry, 2020. 61(8): p. 899–913.Google Scholar
McManama O’Brien, K.H., et al., A pilot study of the acceptability and usability of a smartphone application intervention for suicidal adolescents and their parents. Archives of Suicide Research, 2017. 21(2): p. 254–264.Google Scholar
Kenny, R., Dooley, B, and Fitzgerald, A, Ecological momentary assessment of adolescent problems, coping efficacy, and mood states using a mobile phone app: An exploratory study. JMIR Mental Health, 2016. 3(4): p. e51.Google Scholar
Ranney, M.L., et al., A depression prevention intervention for adolescents in the emergency department. The Journal of Adolescent Health, 2016. 59(4): p. 401–410.Google Scholar
Dawson, A.E., et al., Exploring how adolescents with ADHD use and interact with technology. Journal of Adolescence, 2019. 71: p. 119–137.Google Scholar
David, O.A., Cardoș, R.A.I, and Matu, S, Is REThink therapeutic game effective in preventing emotional disorders in children and adolescents? Outcomes of a randomized clinical trial. European Child & Adolescent Psychiatry, 2019. 28(1): p. 111–122.Google Scholar
UNICEF. UNICEF U-Report poll on COVID-19: One third of Jamaican youth believe they are not at risk. 2020 [cited 2 December 2021]; Available from: www.unicef.org/jamaica/press-releases/unicef-u-report-poll-covid-19-one-third-jamaican-youth-believe-they-are-not-risk (last accessed 7 May 2023).Google Scholar
UNICEF. Community-based mental health care in Peru. 2021 [cited 2 December 2021]; Available from: www.unicef.org/stories/community-based-mental-health-care-peru (last accessed 7 May 2023).Google Scholar
Ssewamala, F.M., et al., Suubi4Her: A study protocol to examine the impact and cost associated with a combination intervention to prevent HIV risk behavior and improve mental health functioning among adolescent girls in Uganda. BMC Public Health, 2018. 18(1): p. 693.Google Scholar
Scalzi, L.V., et al., Improvement of medication adherence in adolescents and young adults with SLE using web-based education with and without a social media intervention, a pilot study. Pediatric Rheumatology, 2018. 16(1): p. 18.Google Scholar
Hetrick, S.E., et al., Youth codesign of a mobile phone app to facilitate self-monitoring and management of mood symptoms in young people with major depression, suicidal ideation, and self-harm. JMIR Mental Health, 2018. 5(1): p. e9.Google Scholar
McCarty, C.A., et al., Screening and brief intervention with adolescents with risky alcohol use in school-based health centers: A randomized clinical trial of the Check Yourself tool. Substance Abuse, 2019. 40(4): p. 510–518.Google Scholar
Punukollu, M., et al., SafeSpot: An innovative app and mental health support package for Scottish schools – a qualitative analysis as part of a mixed methods study. Child and Adolescent Mental Health, 2020. 25(2): p. 110–116.Google Scholar
Newbold, A., et al., Promotion of mental health in young adults via mobile phone app: Study protocol of the ECoWeB (emotional competence for well-being in young adults) cohort multiple randomised trials. BMC Psychiatry, 2020. 20(1): p. 458.Google Scholar
UNICEF. How many children and young people have internet access at home? 2020 [cited 12 January 2022]; Available from: https://data.unicef.org/resources/children-and-young-people-internet-access-at-home-during-covid19/ (last accessed 7 May 2023).Google Scholar
Gleaner, J. Teen Hub to provide counselling, Internet, HIV testing in HWT. 2017 [cited 12 January 2022]; Available from: www.pressreader.com/jamaica/jamaica-gleaner/20171130/281638190525478 (last accessed 7 May 2023).Google Scholar
Lewis, S.P. and Seko, Y, A double-edged sword: A review of benefits and risks of online nonsuicidal self-injury activities. Journal of Clinical Psychology, 2016. 72(3): p. 249–262.Google Scholar
Staniland, L., et al., Stigma and nonsuicidal self-injury: Application of a conceptual framework. Stigma and Health, 2021. 6(3): p. 312–323.Google Scholar
Rosenrot, S.A. and Lewis, S.P, Barriers and responses to the disclosure of non-suicidal self-injury: A thematic analysis. Counselling Psychology Quarterly, 2018. 33(2): p. 121–141.Google Scholar
Lewis, S.P., Kenny, T. E., and Pritchard, T. R., Toward an understanding of online self-injury activity: Review and recommendations for researchers and clinicians, in Nonsuicidal Self-Injury: Advances in Research and Practice, Washburn, J.J, Editor. 2019, New York: Routledge.Google Scholar
Pritchard, T.R. and Lewis, S.P, Understanding online self-injury activity: Implications for research, practice and outreach, in Oxford Handbook on Self-Injury, Whitlock, J.L, Lloyd-Richardson, E, and Baettens, I, Editors. in press, New York: Routledge.Google Scholar
Hasking, P.A., et al., Position paper for guiding response to non-suicidal self-injury in schools. School Psychology International, 2016. 37(6): p. 644–663.Google Scholar
Hamza, C.A., et al., Educational stakeholders’ attitudes and knowledge about nonsuicidal self-injury among university students: A cross-national study. Journal of American College Health, 2021: p. 1–11. DOI: 10.1080/07448481.2021.1961782.CrossRefGoogle Scholar
Lewis, S.P., et al., Addressing self-injury on college campuses: Institutional recommendations. Journal of College Counselling, 2019. 22(1): p. 70–82.Google Scholar
Dyson, M.P., et al., A systematic review of social media use to discuss and view deliberate self-harm acts. PLoS One, 2016. 11(5): p. e0155813.Google Scholar
Marchant, A., et al., A systematic review of the relationship between internet use, self-harm and suicidal behaviour in young people: The good, the bad and the unknown. PLoS One, 2017. 12(8): p. e0181722.Google Scholar
Lewis, S.P., et al., Non-suicidal self-injury, youth, and the Internet: What mental health professionals need to know. Child and Adolescent Psychiatry and Mental Health, 2012. 6(1): p. 13.Google Scholar
Lewis, S.P., et al., Helpful or harmful? An examination of viewers’ responses to nonsuicidal self-injury videos on YouTube. Journal of Adolescent Health, 2012. 51(4): p. 380–385.Google Scholar
Lewis, S.P., Rosenrot, S.A, and Messner, M.A, Seeking validation in unlikely places: The nature of online questions about non-suicidal self-injury. Archives of Suicide Research, 2012. 16(3): p. 263–272.Google Scholar
Niwa, K.D. and Mandrusiak, M.N, Self-injury groups on Facebook. Canadian Journal of Counselling and Psychotherapy, 2012. 46(1): p. 1–20.Google Scholar
Seko, Y. and Lewis, S.P, The self – harmed, visualized, and reblogged: Remaking of self-injury narratives on Tumblr. New Media & Society, 2018. 20(1): p. 180–198.Google Scholar
Lewis, S.P., et al., The scope of nonsuicidal self-injury on YouTube. Pediatrics, 2011. 127(3): p. e552–e557.Google Scholar
Rodham, K., et al., An investigation of the motivations driving the online representation of self-injury: A thematic analysis. Archives of Suicide Research, 2013. 17(2): p. 173–183.Google Scholar
Lewis, S.P. and Michal, N.J, Start, stop, and continue: Preliminary insight into the appeal of self-injury e-communities. Journal of Health Psychology, 2016. 21(2): p. 250–260.Google Scholar
Lewis, S.P., Seko, Y, and Joshi, P, The impact of YouTube peer feedback on attitudes toward recovery from non-suicidal self-injury: An experimental pilot study. Digital Health, 2018. 4: p. 2055207618780499.Google Scholar
Hasking, P. and Boyes, M, Cutting words: A commentary on language and stigma in the context of nonsuicidal self-injury. Journal of Nervous and Mental Disease, 2018. 206(11): p. 829–833.Google Scholar
Baker, T.G. and Lewis, S.P, Responses to online photographs of non-suicidal self-injury: A thematic analysis. Archives of Suicide Research, 2013. 17(3): p. 223–235.Google Scholar
Westers, N.J., et al., Media guidelines for the responsible reporting and depicting of non-suicidal self-injury. The British Journal of Psychiatry, 2021. 219(2): p. 415–418.Google Scholar
Lewis, S.P. and Baker, T.G, The possible risks of self-injury web sites: A content analysis. Archives of Suicide Research, 2011. 15(4): p. 390–396.Google Scholar
Lewis, S.P. and Hasking, P.A, Putting the ‘self’ in self-injury research: Inclusion of people with lived experience in the research process. Psychiatric Services, 2019. 70(11): p. 1058–1060.Google Scholar
Lewis, S.P., et al., Googling self-injury: The state of health information obtained through online searches for self-injury. JAMA Pediatrics, 2014. 168(5): p. 443–449.Google Scholar
Gubrium, A. and Harper, K, Participatory Visual and Digital Methods. 1st ed. Vol. 10. 2016, New York: Routledge.Google Scholar
Lewis, S.P., Heath, N.L, and Whitley, R, Addressing self-injury stigma: The promise of innovative digital and video action-research methods. Canadian Journal of Community Mental Health, 2022. 40(3): p. 45–54.Google Scholar
Corrigan, P.W., et al., Key ingredients to contact-based stigma change: A cross-validation. Psychiatric Rehabilitation Journal, 2014. 37(1): p. 62–64.Google Scholar
Thornicroft, G., et al., Evidence for effective interventions to reduce mental-health-related stigma and discrimination. The Lancet, 2016. 387(10023): p. 1123–1132.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

  • References
  • Edited by Allan House, Emeritus, University of Leeds, Cathy Brennan, University of Leeds
  • Book: Social Media and Mental Health
  • Online publication: 11 October 2023
  • Chapter DOI: https://doi.org/10.1017/9781009024945.021
Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

  • References
  • Edited by Allan House, Emeritus, University of Leeds, Cathy Brennan, University of Leeds
  • Book: Social Media and Mental Health
  • Online publication: 11 October 2023
  • Chapter DOI: https://doi.org/10.1017/9781009024945.021
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • References
  • Edited by Allan House, Emeritus, University of Leeds, Cathy Brennan, University of Leeds
  • Book: Social Media and Mental Health
  • Online publication: 11 October 2023
  • Chapter DOI: https://doi.org/10.1017/9781009024945.021
Available formats
×