Login / Signup

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

Yifei YanJun LiXingyun LiuQing LiNancy Xiaonan Yu
Published in: Journal of medical Internet research (2024)
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.
Keyphrases
  • social media
  • public health
  • sars cov
  • coronavirus disease
  • health information
  • depressive symptoms
  • electronic health record
  • machine learning
  • current status
  • artificial intelligence
  • deep learning