Proceedings of the 26th ACM Conference on Hypertext &Amp; Social Media - HT '15 2015
DOI: 10.1145/2700171.2791026
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Detecting Changes in Suicide Content Manifested in Social Media Following Celebrity Suicides

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 sui… Show more

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Cited by 127 publications
(103 citation statements)
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References 54 publications
(72 reference statements)
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“…Quantifiable signals for a wide range of behavioral health conditions have been uncovered recently, and this provides a foothold into analysis and intervention empowered by data science. A wide array of conditions have been studied including major depressive disorder (Chung and Pennebaker, 2007;, post-traumatic stress disorder (Coppersmith et al, 2014b(Coppersmith et al, , 2015bResnik et al, 2015;Preotiuc-Pietro et al, 2015;Pedersen, 2015), schizophrenia , eating disorders (Walker et al, 2015;Chancellor et al, 2016), generalized anxiety disorder, bipolar disorder (Coppersmith et al, 2014a), suicide (Coppersmith et al, 2015c;Kumar et al, 2015;Kiciman et al, 2016), borderline personality disorder, and others (Coppersmith et al, 2015a).…”
Section: Why Social Media?mentioning
confidence: 99%
See 1 more Smart Citation
“…Quantifiable signals for a wide range of behavioral health conditions have been uncovered recently, and this provides a foothold into analysis and intervention empowered by data science. A wide array of conditions have been studied including major depressive disorder (Chung and Pennebaker, 2007;, post-traumatic stress disorder (Coppersmith et al, 2014b(Coppersmith et al, , 2015bResnik et al, 2015;Preotiuc-Pietro et al, 2015;Pedersen, 2015), schizophrenia , eating disorders (Walker et al, 2015;Chancellor et al, 2016), generalized anxiety disorder, bipolar disorder (Coppersmith et al, 2014a), suicide (Coppersmith et al, 2015c;Kumar et al, 2015;Kiciman et al, 2016), borderline personality disorder, and others (Coppersmith et al, 2015a).…”
Section: Why Social Media?mentioning
confidence: 99%
“…They also found that users use the platform not only for self-expression, but also for seeking diagnosis and treatment information for their conditions. Kumar et al (2015) studied the r/SuicideWatch community on Reddit after celebrity suicides and found increased posting activity and increased suicidal ideation in post content, by using linguistic measures, N -gram comparison, and topic modeling.…”
Section: Introductionmentioning
confidence: 99%
“…To understand aspects of online mental health-related communities including online depression and autism communities, several research has been done for identifying characteristics of these communities [29,44,46,47,[49][50][51]. With questionnaire-based methods, existing studies (e.g.…”
Section: Impacts Of Online Mental Health-related Communitiesmentioning
confidence: 99%
“…It offers a wide scope of features ranging from linguistics, stylistics, social, affective, cognitive, perceptual, biological, relativity, personal concerns, to spoken features. These features were found to be good indicators of depression and mental health [12,14,29,47]. Based on LIWC features (also called psycholinguistic features), existing studies on community detection (e.g.…”
Section: Applied Machine Learning For Community Discoverymentioning
confidence: 99%
“…Post traumatic stress and schizophrenia are two examples of conditions significantly rarer than depression, whose analysis are possible by these techniques (Coppersmith et al, 2014b;. Suicide and suicidal ideation were more difficult to obtain data for, but some population-level analysis was enabled by anonymous suicide help fora (Kumar et al, 2015;Kiciman et al, 2016). Additionally, Robertson et al (2012) investigated the role that social media has in suicide clusters (among people in disparate geographies connected online).…”
Section: Introductionmentioning
confidence: 99%