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Dataset Information

Characteristics of High Suicide Risk Messages From Users of a Social Network-Sina Weibo "Tree Hole".


ABSTRACT:

Background

People with suicidal ideation post suicide-related information on social media, and some may choose collective suicide. Sina Weibo is one of the most popular social media platforms in China, and "Zoufan" is one of the largest depression "Tree Holes." To collect suicide warning information and prevent suicide behaviors, researchers conducted real-time network monitoring of messages in the "Zoufan" tree hole via artificial intelligence robots.

Objective

To explore characteristics of time, content and suicidal behaviors by analyzing high suicide risk comments in the "Zoufan" tree hole.

Methods

Knowledge graph technology was used to screen high suicide risk comments in the "Zoufan" tree hole. Users' level of activity was analyzed by calculating the number of me

SUBMITTER: Yang BX 

PROVIDER: S-EPMC8900140 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature