The Association Between X (Formerly Twitter) Content and Suicide Following a National Media Engagement Strategy in Canada.

IF 2.2 3区 医学 Q2 PSYCHIATRY
Archives of Suicide Research Pub Date : 2026-10-01 Epub Date: 2026-04-03 DOI:10.1080/13811118.2026.2641563
Mark Sinyor, Samantha G Mason, Melvin Chih-Shing Chen, Prudence Chan, Rachel H B Mitchell, Ayal Schaffer, Jane Pirkis, Marnin J Heisel, Benjamin I Goldstein, Donald A Redelmeier, Thomas Niederkrotenthaler
{"title":"The Association Between X (Formerly Twitter) Content and Suicide Following a National Media Engagement Strategy in Canada.","authors":"Mark Sinyor, Samantha G Mason, Melvin Chih-Shing Chen, Prudence Chan, Rachel H B Mitchell, Ayal Schaffer, Jane Pirkis, Marnin J Heisel, Benjamin I Goldstein, Donald A Redelmeier, Thomas Niederkrotenthaler","doi":"10.1080/13811118.2026.2641563","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To identify associations between X (formerly Twitter) content and narratives and suicide deaths following Canadian media engagement efforts.</p><p><strong>Method: </strong>We coded suicide-related tweets (<i>N</i> = 862) geolocated to Toronto originating from high-level influencers (July 2020-June 2021) for general, putatively harmful, and putatively protective content and overarching (\"gestalt\") narrative. We used multivariable logistic regression to examine associations between tweet characteristics and increases or decreases in suicide deaths in Toronto in the 7 days after posting, compared with a 7-day control window.</p><p><strong>Results: </strong>Tweets most strongly associated with increased subsequent suicides included calls to action to address suicide (OR 3.59, 95%CI 1.97-6.55), those arising from celebrities (3.55, 95%CI 1.87-6.75), and gestalt narratives focused on suicide deaths and/or attempts in A-list celebrities (OR 2.85, 95%CI 1.24-6.53). Tweets most strongly associated with decreased subsequent suicides were those about specific at-risk groups (LGBTQI+ or indigenous peoples; OR 0.18, 95%CI 0.09-0.38) and artists/entertainers (OR 0.33, 95%CI 0.14-0.76), and that referenced the 988 helpline (OR 0.30, 95%CI 0.09-0.92). Neither putatively harmful nor protective elements were common in tweets.</p><p><strong>Conclusions: </strong>These findings largely align with prior evidence of the potential harms and benefits of specific suicide-related media content and narratives. We found limited harmful content in tweets after Canadian media engagement efforts, but also little evidence of helpful content.</p>","PeriodicalId":8325,"journal":{"name":"Archives of Suicide Research","volume":" ","pages":"1245-1264"},"PeriodicalIF":2.2000,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of Suicide Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/13811118.2026.2641563","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/4/3 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 0

Abstract

Objective: To identify associations between X (formerly Twitter) content and narratives and suicide deaths following Canadian media engagement efforts.

Method: We coded suicide-related tweets (N = 862) geolocated to Toronto originating from high-level influencers (July 2020-June 2021) for general, putatively harmful, and putatively protective content and overarching ("gestalt") narrative. We used multivariable logistic regression to examine associations between tweet characteristics and increases or decreases in suicide deaths in Toronto in the 7 days after posting, compared with a 7-day control window.

Results: Tweets most strongly associated with increased subsequent suicides included calls to action to address suicide (OR 3.59, 95%CI 1.97-6.55), those arising from celebrities (3.55, 95%CI 1.87-6.75), and gestalt narratives focused on suicide deaths and/or attempts in A-list celebrities (OR 2.85, 95%CI 1.24-6.53). Tweets most strongly associated with decreased subsequent suicides were those about specific at-risk groups (LGBTQI+ or indigenous peoples; OR 0.18, 95%CI 0.09-0.38) and artists/entertainers (OR 0.33, 95%CI 0.14-0.76), and that referenced the 988 helpline (OR 0.30, 95%CI 0.09-0.92). Neither putatively harmful nor protective elements were common in tweets.

Conclusions: These findings largely align with prior evidence of the potential harms and benefits of specific suicide-related media content and narratives. We found limited harmful content in tweets after Canadian media engagement efforts, but also little evidence of helpful content.

X(以前的Twitter)内容与加拿大国家媒体参与战略后自杀之间的关系。
目的:确定X(以前的Twitter)内容和叙述与加拿大媒体参与努力后的自杀死亡之间的联系。方法:我们编码了位于多伦多的与自杀相关的推文(N = 862),这些推文来自高层影响者(2020年7月至2021年6月),用于一般性、推定有害和推定保护性的内容和总体(“格式塔”)叙述。我们使用多变量逻辑回归来检验推文特征与发布后7天内多伦多自杀死亡人数的增加或减少之间的关联,并与7天的控制窗口进行比较。结果:与随后自杀增加最密切相关的推文包括呼吁采取行动解决自杀问题(OR 3.59, 95%CI 1.97-6.55),名人发出的推文(OR 3.55, 95%CI 1.87-6.75),以及关注一线名人自杀死亡和/或企图自杀的完形叙述(OR 2.85, 95%CI 1.24-6.53)。与降低自杀率最密切相关的推文是那些关于特定风险群体(LGBTQI+或土著人民;or 0.18, 95%CI 0.09-0.38)和艺术家/艺人(or 0.33, 95%CI 0.14-0.76)的推文,这些推文引用了988帮助热线(or 0.30, 95%CI 0.09-0.92)。推文中既不常见推定的有害元素,也不常见保护性元素。结论:这些发现在很大程度上与先前关于特定自杀相关媒体内容和叙述的潜在危害和益处的证据一致。经过加拿大媒体的努力,我们在推特上发现了有限的有害内容,但也几乎没有证据表明有有益的内容。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
6.10
自引率
7.10%
发文量
69
期刊介绍: Archives of Suicide Research, the official journal of the International Academy of Suicide Research (IASR), is the international journal in the field of suicidology. The journal features original, refereed contributions on the study of suicide, suicidal behavior, its causes and effects, and techniques for prevention. The journal incorporates research-based and theoretical articles contributed by a diverse range of authors interested in investigating the biological, pharmacological, psychiatric, psychological, and sociological aspects of suicide.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书