The association between Twitter content and suicide. (March 2021)

• Record Type: Journal Article
• Authors: Sinyor, Mark; Williams, Marissa; Zaheer, Rabia; Loureiro, Raisa; Pirkis, Jane; Heisel, Marnin J; Schaffer, Ayal; Redelmeier, Donald A; Cheung, Amy H; Niederkrotenthaler, Thomas
• Is Part Of: Australian and New Zealand journal of psychiatry. Volume 55:Number 3(2021)
• Page Start: 268
• Page End: 276
• Publication Date: 2021-03
• Subjects: Suicide -- media -- social media -- Twitter; Psychiatry -- Periodicals; Psychiatry -- Australia -- Periodicals; Psychiatry -- New Zealand -- Periodicals; 616.89005
• DOI: 10.1177/0004867420969805
• Languages: English
• ISSNs: 0004-8674

Abstract

Objective: A growing body of research has established that specific elements of suicide-related news reporting can be associated with increased or decreased subsequent suicide rates. This has not been systematically investigated for social media. The aim of this study was to identify associations between specific social media content and suicide deaths. Methods: Suicide-related tweets ( n = 787) geolocated to Toronto, Canada and originating from the highest level influencers over a 1-year period (July 2015 to June 2016) were coded for general, putatively harmful and putatively protective content. Multivariable logistic regression was used to examine whether tweet characteristics were associated with increases or decreases in suicide deaths in Toronto in the 7 days after posting, compared with a 7-day control window. Results: Elements independently associated with increased subsequent suicide counts were tweets about the suicide of a local newspaper reporter (OR = 5.27, 95% CI = [1.27, 21.99]), 'other' social causes of suicide (e.g. cultural, relational, legal problems; OR = 2.39, 95% CI = [1.17, 4.86]), advocacy efforts (OR = 2.34, 95% CI = [1.48, 3.70]) and suicide death (OR = 1.52, 95% CI = [1.07, 2.15]). Elements most strongly independently associated with decreased subsequent suicides were tweets about murder suicides (OR = 0.02, 95% CI = [0.002, 0.17]) and suicide in first responders (OR = 0.17, 95% CI = [0.05, 0.52]). Conclusions: These findings largely comport with the theory of suicide contagion and associations observed with traditional news media. They specifically suggest that tweets describing suicide deaths and/or sensationalized news stories may be harmful while those that present suicide as undesirable, tragic and/or preventable may be helpful. These results suggest that social media is both an important exposure and potential avenue for intervention.