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Monitoring Online Discussions About Suicide Among Twitter Users With Schizophrenia: Exploratory Study.

作者信息

Hswen Yulin, Naslund John A, Brownstein John S, Hawkins Jared B

机构信息

Department of Social and Behavioral Sciences, Harvard TH Chan School of Public Health, Harvard University, Boston, MA, United States.

Informatics Program, Boston Children's Hospital, Boston, MA, United States.

出版信息

JMIR Ment Health. 2018 Dec 13;5(4):e11483. doi: 10.2196/11483.


DOI:10.2196/11483
PMID:30545811
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6315229/
Abstract

BACKGROUND: People with schizophrenia experience elevated risk of suicide. Mental health symptoms, including depression and anxiety, contribute to increased risk of suicide. Digital technology could support efforts to detect suicide risk and inform suicide prevention efforts. OBJECTIVE: This exploratory study examined the feasibility of monitoring online discussions about suicide among Twitter users who self-identify as having schizophrenia. METHODS: Posts containing the terms suicide or suicidal were collected from a sample of Twitter users who self-identify as having schizophrenia (N=203) and a random sample of control users (N=173) over a 200-day period. Frequency and timing of posts about suicide were compared between groups. The associations between posting about suicide and common mental health symptoms were examined. RESULTS: Twitter users who self-identify as having schizophrenia posted more tweets about suicide (mean 7.10, SD 15.98) compared to control users (mean 1.89, SD 4.79; t=-4.13, P<.001). Twitter users who self-identify as having schizophrenia showed greater odds of tweeting about suicide compared to control users (odds ratio 2.15, 95% CI 1.42-3.28). Among all users, tweets about suicide were associated with tweets about depression (r=0.62, P<.001) and anxiety (r=0.45, P<.001). CONCLUSIONS: Twitter users who self-identify as having schizophrenia appear to commonly discuss suicide on social media, which is associated with greater discussion about other mental health symptoms. These findings should be interpreted cautiously, as it is not possible to determine whether online discussions about suicide correlate with suicide risk. However, these patterns of online discussion may be indicative of elevated risk of suicide observed in this patient group. There may be opportunities to leverage social media for supporting suicide prevention among individuals with schizophrenia.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e486/6315229/160724ddc806/mental_v5i4e11483_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e486/6315229/9ac1623aa09a/mental_v5i4e11483_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e486/6315229/160724ddc806/mental_v5i4e11483_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e486/6315229/9ac1623aa09a/mental_v5i4e11483_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e486/6315229/160724ddc806/mental_v5i4e11483_fig2.jpg

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Monitoring Online Discussions About Suicide Among Twitter Users With Schizophrenia: Exploratory Study.

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本文引用的文献

[1]
Online Communication about Depression and Anxiety among Twitter Users with Schizophrenia: Preliminary Findings to Inform a Digital Phenotype Using Social Media.

Psychiatr Q. 2018-9

[2]
Multi-class machine classification of suicide-related communication on Twitter.

Online Soc Netw Media. 2017-8

[3]
Towards an Ethical Framework for Publishing Twitter Data in Social Research: Taking into Account Users' Views, Online Context and Algorithmic Estimation.

Sociology. 2017-12

[4]
Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media.

Proc SIGCHI Conf Hum Factor Comput Syst. 2016-5

[5]
Exploring opportunities to support mental health care using social media: A survey of social media users with mental illness.

Early Interv Psychiatry. 2017-10-20

[6]
Using Twitter for Demographic and Social Science Research: Tools for Data Collection and Processing.

Sociol Methods Res. 2017-8

[7]
A Collaborative Approach to Identifying Social Media Markers of Schizophrenia by Employing Machine Learning and Clinical Appraisals.

J Med Internet Res. 2017-8-14

[8]
Tweeting celebrity suicides: Users' reaction to prominent suicide deaths on Twitter and subsequent increases in actual suicides.

Soc Sci Med. 2017-6-28

[9]
Characterizing Awareness of Schizophrenia Among Facebook Users by Leveraging Facebook Advertisement Estimates.

J Med Internet Res. 2017-5-8

[10]
A Linguistic Analysis of Suicide-Related Twitter Posts.

Crisis. 2017-2-23

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