Literature DB >> 28337925

The Impact of a Highly Publicized Celebrity Suicide on Suicide-Related Online Information Seeking.

Florian Arendt1, Sebastian Scherr1.   

Abstract

BACKGROUND: Research has already acknowledged the importance of the Internet in suicide prevention as search engines such as Google are increasingly used in seeking both helpful and harmful suicide-related information. AIMS: We aimed to assess the impact of a highly publicized suicide by a Hollywood actor on suicide-related online information seeking.
METHOD: We tested the impact of the highly publicized suicide of Robin Williams on volumes of suicide-related search queries.
RESULTS: Both harmful and helpful search terms increased immediately after the actor's suicide, with a substantial jump of harmful queries. LIMITATIONS: The study has limitations (e.g., possible validity threats of the query share measure, use of ambiguous search terms).
CONCLUSION: Online suicide prevention efforts should try to increase online users' awareness of and motivation to seek help, for which Google's own helpline box could play an even more crucial role in the future.

Entities:  

Keywords:  Google; Internet; Robin Williams; celebrity suicide; search engines

Mesh:

Year:  2017        PMID: 28337925     DOI: 10.1027/0227-5910/a000455

Source DB:  PubMed          Journal:  Crisis        ISSN: 0227-5910


  4 in total

1.  Responsible reporting to prevent suicide contagion.

Authors:  Ian Colman
Journal:  CMAJ       Date:  2018-07-30       Impact factor: 8.262

2.  Chronic Disease, Disability, Psychological Distress and Suicide Ideation among Rural Elderly: Results from a Population Survey in Shandong.

Authors:  Jing Zhu; Lingzhong Xu; Long Sun; Jiajia Li; Wenzhe Qin; Gan Ding; Qian Wang; Jiao Zhang; Su Xie; Zihang Yu
Journal:  Int J Environ Res Public Health       Date:  2018-07-28       Impact factor: 3.390

3.  The Validity of Google Trends Search Volumes for Behavioral Forecasting of National Suicide Rates in Ireland.

Authors:  Joana M Barros; Ruth Melia; Kady Francis; John Bogue; Mary O'Sullivan; Karen Young; Rebecca A Bernert; Dietrich Rebholz-Schuhmann; Jim Duggan
Journal:  Int J Environ Res Public Health       Date:  2019-09-02       Impact factor: 3.390

4.  Predicting the Number of Suicides in Japan Using Internet Search Queries: Vector Autoregression Time Series Model.

Authors:  Kazuya Taira; Rikuya Hosokawa; Tomoya Itatani; Sumio Fujita
Journal:  JMIR Public Health Surveill       Date:  2021-12-03
  4 in total

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