Literature DB >> 28713876

Detecting Changes in Suicide Content Manifested in Social Media Following Celebrity Suicides.

Mrinal Kumar1, Mark Dredze2, Glen Coppersmith2, Munmun De Choudhury1.   

Abstract

The Werther effect describes the increased rate of completed or attempted suicides following the depiction of an individual's suicide in the media, typically a celebrity. We present findings on the prevalence of this effect in an online platform: r/SuicideWatch on Reddit. We examine both the posting activity and post content after the death of ten high-profile suicides. Posting activity increases following reports of celebrity suicides, and post content exhibits considerable changes that indicate increased suicidal ideation. Specifically, we observe that post-celebrity suicide content is more likely to be inward focused, manifest decreased social concerns, and laden with greater anxiety, anger, and negative emotion. Topic model analysis further reveals content in this period to switch to a more derogatory tone that bears evidence of self-harm and suicidal tendencies. We discuss the implications of our findings in enabling better community support to psychologically vulnerable populations, and the potential of building suicide prevention interventions following high-profile suicides.

Entities:  

Keywords:  Reddit; Werther effect; mental health; social media; suicide

Year:  2015        PMID: 28713876      PMCID: PMC5507358          DOI: 10.1145/2700171.2791026

Source DB:  PubMed          Journal:  HT ACM Conf Hypertext Soc Media


  34 in total

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  27 in total

1.  Tracking Health Related Discussions on Reddit for Public Health Applications.

Authors:  Albert Park; Mike Conway
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

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Authors:  Zhijun Yin; Lina M Sulieman; Bradley A Malin
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3.  Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media.

Authors:  Munmun De Choudhury; Emre Kiciman; Mark Dredze; Glen Coppersmith; Mrinal Kumar
Journal:  Proc SIGCHI Conf Hum Factor Comput Syst       Date:  2016-05

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Journal:  Proc SIGCHI Conf Hum Factor Comput Syst       Date:  2017-05

Review 5.  Capturing the Patient's Perspective: a Review of Advances in Natural Language Processing of Health-Related Text.

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Authors:  Michelle R Kaufman; Alicia T Bazell; Anne Collaco; João Sedoc
Journal:  Drug Alcohol Depend       Date:  2020-12-20       Impact factor: 4.492

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Authors:  Qijin Cheng; Tim Mh Li; Chi-Leung Kwok; Tingshao Zhu; Paul Sf Yip
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9.  Multi-class machine classification of suicide-related communication on Twitter.

Authors:  Pete Burnap; Gualtiero Colombo; Rosie Amery; Andrei Hodorog; Jonathan Scourfield
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Authors:  David S Fink; Julian Santaella-Tenorio; Katherine M Keyes
Journal:  PLoS One       Date:  2018-02-07       Impact factor: 3.240

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