Temporal and Geographic Patterns of Social Media Posts About an Emerging Suicide Game
Open accessAbstract
Purpose Rates of suicide are increasing rapidly among youth. Social media messages and online games promoting suicide are a concern for parents and clinicians. We examined the timing and location of social media posts about one alleged youth suicide game to better understand the degree to which social media data can provide earlier public health awareness. Methods We conducted a search of all public social media posts and news articles on the Blue Whale Challenge (BWC), an alleged suicide game, from January 1, 2013, through June 30, 2017. Data were retrieved through multiple keyword search; sources included social media platforms Twitter, YouTube, Reddit, Tumblr, as well as blogs, forums, and news articles. Posts were classified into three categories: individual "pro"-BWC posts (support for game), individual "anti"-BWC posts (opposition to game), and media reports. Timing and location of posts were assessed. Results Overall, 95,555 social media posts and articles about the BWC were collected. In total, over one-quarter (28.3%) were "pro"-BWC. The first U.S. news article related to the BWC was published approximately 4 months after the first English language U.S. social media post about the BWC and 9 months after the first U.S. social media post in any language. By the close of the study period, "pro"-BWC posts had spread to 127 countries. Conclusions Novel online risks to mental health, such as prosuicide games or messages, can spread rapidly and globally. Better understanding social media and Web data may allow for detection of such threats earlier than is currently possible.
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A study mapped 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.
“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)”
From Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice (2020) · cites this paper as Sumner et al., 2019
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Twenge, J. M., Joiner, T. E., Rogers, M. L., & Martin, G. N. (2018) · Clinical Psychological Science · doi:10.1177/2167702617723376 · Cited by 1,705 · see citing works
The Teenage Brain: Sensitivity to Social Evaluation
Somerville, L. H. (2013) · Current Directions in Psychological Science · doi:10.1177/0963721413476512 · Cited by 1,011 · see citing works
Social media as a measurement tool of depression in populations
De Choudhury, M., Counts, S., & Horvitz, E. (2013) · Proceedings of the 5th Annual ACM Web Science Conference · doi:10.1145/2464464.2464480 · Cited by 497 · see citing works
The Language of Social Support in Social Media and Its Effect on Suicidal Ideation Risk
De Choudhury, M., & Kiciman, E. (2017) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v11i1.14891 · Cited by 202 · see citing works
The Scope of Nonsuicidal Self-Injury on YouTube
Lewis, S. P., Heath, N. L., St Denis, J. M., & Noble, R. (2011) · Pediatrics · doi:10.1542/peds.2010-2317 · Cited by 186 · see citing works
Mercado, M. C., Holland, K., Leemis, R. W., Stone, D. M., & Wang, J. (2017) · JAMA · doi:10.1001/jama.2017.13317 · Cited by 170 · see citing works
Birnbaum, M. L., Ernala, S. K., Rizvi, A. F., De Choudhury, M., & Kane, J. M. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7956 · Cited by 168 · see citing works
Internet Searches for Suicide Following the Release of <i>13 Reasons Why</i>
Ayers, J. W., Althouse, B. M., Leas, E. C., Dredze, M., & Allem, J.-P. (2017) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2017.3333 · Cited by 155 · see citing works
Flagged first, then by citations
Research works printed but not linked: 24
- [3]Roh B-R, Jung EH, Hong HJ. A comparative study of suicide rates among 10–19-year-olds in 29 OECD countries. Psychiatry Invest 2018; 15: 376. PMC5912485 29486551
- [4]Shah A The relationship between general population suicide rates and the Internet: A cross-national study. Suicide Life Threat Behav 2010; 40: 146– 50. 20465349
- [8]Davidson LE, Rosenberg ML, Mercy JA, An epidemiologic study of risk factors in two teenage suicide clusters. JAMA 1989; 262: 2687– 92. 2810601
- [10]O’brien KHM, Knight JR, Harris SK. A call for social responsibility and suicide risk screening, prevention, and early intervention following the release of the Netflix series 13 Reasons Why. JAMA Intern Med 2017; 177: 1418– 9. 28759674
- [11]Colombo GB, Burnap P, Hodorog A, Scourfield J. Analysing the connectivity and communication of suicidal users on twitter. Computer Commun 2016; 73: 291– 300. PMC4784725 26973360
- [12]Daine K, Hawton K, Singaravelu V, The power of the web: A systematic review of studies of the influence of the internet on self-harm and suicide in young people. PLoS One 2013; 8: e77555. 24204868 PMC3813687
- [13]Egge MK, Berkowitz CD, Toms C, Sathyavagiswaran L. The choking game: A cause of unintentional strangulation. Pediatr Emerg Care 2010; 26: 206– 8. 20216282
- [14]Linkletter M, Gordon K, Dooley J. The choking game and YouTube: A dangerous combination. Clin Pediatr 2010; 49: 274– 9. 19596864
- [15]Centers for Disease Control Prevention. Unintentional strangulation deaths from the“ choking game” among youths aged 6–19 years-United States, 1995–2007. MMWR: Morbidity mortality weekly Rep 2008; 57: 141– 4. 18272955
- [16]Centers for Disease Control Prevention. “Choking game” awareness and participation among 8th graders–Oregon, 2008. MMWR: Morbidity mortality weekly Rep 2010; 59: 1– 5. 20075837
- [18]Cash SJ, Thelwall M, Peck SN, Adolescent suicide statements on MySpace. Cyberpsychol Behav Soc Netw 2013; 16: 166– 74. 23374167
- [19]Luxton DD, June JD, Fairall JM. Social media and suicide: A public health perspective. Am J Public Health 2012; 102: S195– 200. 22401525 PMC3477910
- [20]Dyson MP, Hartling L, Shulhan J, A systematic review of social media use to discuss and view deliberate self-harm acts. PLoS One 2016; 11: e0155813. 27191728 PMC4871432
- [22]Jashinsky J, Burton SH, Hanson CL, Tracking suicide risk factors through Twitter in the US. Crisis 2014; 35: 51– 9. 24121153
- [24]Sousa D, Filho J, Bezerra Cavalcanti R, The impact of the ‘Blue Whale game in the rates of suicide: Short psychological analysis of the phenomenon. Int J Soc Psychiatry 2017; 63: 796– 7. 28936914
- [27]McClellan C, Ali MM, Mutter R, Using social media to monitor mental health discussions evidence from Twitter. J Am Med Inform Assoc 2017; 24: 496– 502. 27707822 PMC7651954
- [29]O’Dea B, Wan S, Batterham PJ, Detecting suicidality on Twitter. Internet Interventions 2015; 2: 183– 8.
- [30]Lewis SP, Heath NL, Sornberger MJ, Arbuthnott AE. Helpful or harmful? An examination of viewers’ responses to nonsuicidal self-injury videos on YouTube. J Adolesc Health 2012; 51: 380– 5. 22999839
- [31]Chancellor S, Pater JA, Clear T, # thyghgapp: Instagram content moderation and lexical variation in pro-eating disorder communities. Paper Presented at: Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing San Francisco, February 27–March 02. 2016.
- [32]Clarke AM, Kuosmanen T, Barry MM. A systematic review of online youth mental health promotion and prevention interventions. J Youth Adolesc 2015; 44: 90– 113. 25115460
- [33]Ali K, Farrer L, Gulliver A, Griffiths KM. Online peer-to-peer support for young people with mental health problems: A systematic review. JMIR Ment Health 2015; 19: e19. PMC4607385 26543923
- [36]Fung IC-H, Tse ZTH, Cheung C-N, Ebola and the social media. The Lancet 2014; 384(9961): 2207. 25625391
- [37]Ding T, Roy A, Chen Z, Analyzing and retrieving illicit drug-related posts from social media. Paper Presented at: Bioinformatics and Biomedicine (BIBM), 2016 IEEE International Conference Shenzhen, China, December 15–18, 2016.
- [38]Broniatowski DA, Jamison AM, Qi S, Weaponized health communication: Twitter bots and Russian trolls amplify the vaccine debate. Am J Public Health 2018; 0: e1– 7. PMC6137759 30138075
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Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice
Naslund, J. A., Bondre, A., Torous, J., & Aschbrenner, K. A. (2020) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-020-00134-x · Cited by 746 · see citing works
“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).”
BackgroundMachine learning algorithms for social media analysis: A survey
T.K., B., Annavarapu, C. S. R., & Bablani, A. (2021) · Computer Science Review · doi:10.1016/j.cosrev.2021.100395 · Cited by 276 · see citing works
The importance of social media content for teens' risks for self-harm
George, M. (2019) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2019.04.022 · Cited by 37 · see citing works
- Authors
- Sumner, S. A., Galik, S., Mathieu, J., Ward, M., Kiley, T., Bartholow, B., Dingwall, A., & Mork, P.
- Affiliations
- Centers for Disease Control and Prevention (US)
- Mitre (United States) (US)
- Corresponding author
- Sumner, Steven A.
- Venue
- Journal of Adolescent Health
- Publisher
- Elsevier BV
- Published
- 2019-07
- Volume
- 65
- Issue
- 1
- Pages
- 94-100
- ISSN
- 1054-139X (ISSN-L)
- PMC
- PMC7164676
- OpenAlex
- W2915918523
- Cited by
- 30
- References
- 8
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 3 · 2023: 2 · 2022: 3 · 2021: 9 · 2020: 6 · 2019: 2
- FWCI
- 5.84
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Adolescent Health (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Centers for Disease Control and Prevention
- Topics
- Social Sciences › Psychology › Clinical Psychology › Suicide and Self-Harm Studies
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Health › Social Media in Health Education
- Keywords
- Blue Whale Challenge, youth suicide, social media posts, online suicide prevention, disease surveillance, Twitter, YouTube
- MeSH terms
- Games, Recreational, Adolescent, Humans, Suicide, Self-Injurious Behavior, Social Media
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