【摘要】 目的分析微博"树洞"用户留言的自杀意念相关信息,为自杀预警及网络干预提供思路。方法 "树洞"智能机器人24 h监控2018年8～10月"走饭"微博树洞留言,依据知识图谱筛选含自杀意念的信息,自动识别6～10级高自杀风险信息,进行自杀风险分级。结果 "树洞"机器人共抓取"走饭"微博树洞留言信息11.8万条。微博留言在22:00至凌晨2:00达高峰期;存在6～10级高自杀风险留言信息达711条,留言用户主要集中在16～26岁年龄段;跳楼、割腕、烧炭、自缢、跳河是高自杀风险人群表达的主要自杀方式。结论人们通过网络表达自杀意念的现象越来越普遍,人工智能技术可用于识别和救助高自杀风险人群。自杀预防工作应健全24 h危机预警及干预机制,重视青少年心理健康,并营造良好的网络社交环境。更多还原

【Abstract】 Objective To analyze Weibo "Tree Hole" users′ suicidal ideation related information, and to provide reference for suicide early warning and intervention using social media. Methods The "Zou Fan" Weibo tree hole was 24 hours monitored by an artificial intelligence robot from August to October in 2018, the leaving massage on suicidal ideation was screened according to knowledge mapping, and the level 6-10 high risk suicidal ideation information was automatically distinguished, then the suicide risk was categorized. Results Totally 118,000 messages from "Zou Fan" Weibo tree hole were obtained by the robot. The peak time period for writing these messages was 22:00 to 2:00 in the next morning, and 711 messages were identified as level 6-10 high risk suicide, and its users were mainly focused in 16-26 years old, and their expressed primary suicide methods were jumping off the building, cutting wrists, charcoal-burning, hanging and jumping into a river. Conclusion It is a more and more popular phenomenon to express suicidal ideation via social media, the artificial intelligence technology could be used to identify and rescue high risk suicide population. Suicide prevention should improve the 24 h crisis warning and intervention mechanism, pay attention to adolescents′mental health, and create a good network social environment.更多还原