Abstract
“Zou Fan” is currently the largest “tree hole” on Weibo, where people having suicidal ideation often express their thoughts and use this channel to seek support. Therefore, early suicide monitoring and timely crisis intervention based on artificial intelligence technology are needed for this social media user group. This research was based on the knowledge graph technology, whereby “Tree Hole Intelligent Agent” (i.e., Artificial Intelligence Program) was used to identify “Zou Fan Tree Hole” users at high risk for suicide, and then, the “Tree Hole Action” carried out proactive suicide crisis intervention with them. The “Tree Hole Action” has temporarily prevented 3,629 potential suicides. The “Tree Hole Action” plays a significant role in suicide risk monitoring and crisis intervention for social media users and has been seen to have an important social impact.
Highlights
Suicide is a global phenomenon and occurs at all stages of life
“Tree Hole Action” has raised public awareness and understanding of suicide and attracted many people to volunteer for the project
Suicide risk identification and prediction are the basis of the project
Summary
The data released by the World Health Organization [WHO] (2019) show that approximately 800,000 people die due to suicide worldwide each year, and 79% of victims were from low- and middle-income countries. Suicide is the leading cause of death among people aged 15–29 years (World Health Organization [WHO], 2019), posing a significant threat to adolescents and young adults. Suicide is a tragedy for families, communities, and the entire country It results in a loss of family productivity and income as well as an increase in the financial burden of the family (Bachmann, 2018). Suicide has a long-term impact on the relatives and friends of the deceased and poses a mental burden on them (Chinese Center for Disease Control and Prevention, 2019b). Online suicide rescue Process of “Tree Hole Action” standard process. Interpretation of “tree hole” monitoring reports; select rescue targets from monitoring reports; identify false suicide information
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