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Identifying Reddit Users at a High Risk of Suicide and Their Linguistic Features During the COVID-19 Pandemic: Growth-Based Trajectory Model.

作者信息

Yan Yifei, Li Jun, Liu Xingyun, Li Qing, Yu Nancy Xiaonan

机构信息

Department of Social and Behavioural Sciences, City University of Hong Kong, Hong Kong, China (Hong Kong).

Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong).

出版信息

J Med Internet Res. 2024 Aug 8;26:e48907. doi: 10.2196/48907.


DOI:10.2196/48907
PMID:39115925
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11342008/
Abstract

BACKGROUND: Suicide has emerged as a critical public health concern during the COVID-19 pandemic. With social distancing measures in place, social media has become a significant platform for individuals expressing suicidal thoughts and behaviors. However, existing studies on suicide using social media data often overlook the diversity among users and the temporal dynamics of suicide risk. OBJECTIVE: By examining the variations in post volume trajectories among users on the r/SuicideWatch subreddit during the COVID-19 pandemic, this study aims to investigate the heterogeneous patterns of change in suicide risk to help identify social media users at high risk of suicide. We also characterized their linguistic features before and during the pandemic. METHODS: We collected and analyzed post data every 6 months from March 2019 to August 2022 for users on the r/SuicideWatch subreddit (N=6163). A growth-based trajectory model was then used to investigate the trajectories of post volume to identify patterns of change in suicide risk during the pandemic. Trends in linguistic features within posts were also charted and compared, and linguistic markers were identified across the trajectory groups using regression analysis. RESULTS: We identified 2 distinct trajectories of post volume among r/SuicideWatch subreddit users. A small proportion of users (744/6163, 12.07%) was labeled as having a high risk of suicide, showing a sharp and lasting increase in post volume during the pandemic. By contrast, most users (5419/6163, 87.93%) were categorized as being at low risk of suicide, with a consistently low and mild increase in post volume during the pandemic. In terms of the frequency of most linguistic features, both groups showed increases at the initial stage of the pandemic. Subsequently, the rising trend continued in the high-risk group before declining, while the low-risk group showed an immediate decrease. One year after the pandemic outbreak, the 2 groups exhibited differences in their use of words related to the categories of personal pronouns; affective, social, cognitive, and biological processes; drives; relativity; time orientations; and personal concerns. In particular, the high-risk group was discriminant in using words related to anger (odds ratio [OR] 3.23, P<.001), sadness (OR 3.23, P<.001), health (OR 2.56, P=.005), achievement (OR 1.67, P=.049), motion (OR 4.17, P<.001), future focus (OR 2.86, P<.001), and death (OR 4.35, P<.001) during this stage. CONCLUSIONS: Based on the 2 identified trajectories of post volume during the pandemic, this study divided users on the r/SuicideWatch subreddit into suicide high- and low-risk groups. Our findings indicated heterogeneous patterns of change in suicide risk in response to the pandemic. The high-risk group also demonstrated distinct linguistic features. We recommend conducting real-time surveillance of suicide risk using social media data during future public health crises to provide timely support to individuals at potentially high risk of suicide.

摘要

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引用本文的文献

[1]
Psychosocial dynamics of suicidality and nonsuicidal self-injury: a digital linguistic perspective.

Npj Ment Health Res. 2025-7-8

本文引用的文献

[1]
Suicide and self-harm in low- and middle- income countries during the COVID-19 pandemic: A systematic review.

PLOS Glob Public Health. 2022-6-1

[2]
Suicide before and during the COVID-19 Pandemic: A Systematic Review with Meta-Analysis.

Int J Environ Res Public Health. 2023-2-14

[3]
Trajectory of suicidal ideation among medical students during the COVID-19 pandemic: the role of childhood trauma.

BMC Psychiatry. 2023-2-6

[4]
The performance of machine learning models in predicting suicidal ideation, attempts, and deaths: A meta-analysis and systematic review.

J Psychiatr Res. 2022-11

[5]
Developmental trajectories of tobacco use and risk factors from adolescence to emerging young adulthood: a population-based panel study.

BMC Public Health. 2022-8-29

[6]
Psycholinguistic changes in the communication of adolescent users in a suicidal ideation online community during the COVID-19 pandemic.

Eur Child Adolesc Psychiatry. 2023-6

[7]
Suicide numbers during the first 9-15 months of the COVID-19 pandemic compared with pre-existing trends: An interrupted time series analysis in 33 countries.

EClinicalMedicine. 2022-8-2

[8]
Impact of the COVID-19 pandemic on suicidal attempts and death rates: a systematic review.

BMC Psychiatry. 2022-7-28

[9]
Changes in suicidal ideation and related influential factors in college students during the COVID-19 lockdown in China.

Psychiatry Res. 2022-8

[10]
Patterns of Perceived Harms and Benefits of the COVID-19 Outbreak in Hong Kong Adults: A Latent Profile Analysis.

Int J Environ Res Public Health. 2022-4-5

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