Public Surveillance of Social Media for Suicide Using Advanced Deep Learning Models in Japan: Time Series Study From 2012 to 2022.

ABSTRACT:

Background

Social media platforms have been increasingly used to express suicidal thoughts, feelings, and acts, raising public concerns over time. A large body of literature has explored the suicide risks identified by people's expressions on social media. However, there is not enough evidence to conclude that social media provides public surveillance for suicide without aligning suicide risks detected on social media with actual suicidal behaviors. Corroborating this alignment is a crucial foundation for suicide prevention and intervention through social media and for estimating and predicting suicide in countries with no reliable suicide statistics.

Objective

This study aimed to corroborate whether the suicide risks identified on social media align with actual suicidal beh

SUBMITTER: Wang S 

PROVIDER: S-EPMC10276317 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature