树洞救援:用于自杀风险检测和在线自杀干预的AI方法
Zhisheng Huang1,2, Qing Hu2,3
1Clinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Sanlin Road 165, Shanghai, 200124 China.
Health information science and systems
|September 6, 2024
概括
人工智能 (AI) 代理人监控社交媒体的"树洞",寻找自杀信号. 一个大型的志愿者团队使用这些AI洞察力进行干预,自2018年以来成功防止了6600多起自杀事件.
科学领域:
- 社会科学 社会科学 社会科学
- 计算机科学 计算机科学
- 公共卫生 公共卫生
背景情况:
- 青少年自杀是一个重大的全球性问题.
- 社交媒体平台被年轻人用来表达自杀想法.
- 在线"树洞"提供了一个匿名分享个人斗争的空间.
研究的目的:
- 开发和展示基于Web的智能代理,用于检测社交媒体中的自杀信号.
- 描述人工智能监控促进的在线自杀干预方法.
- 为了证明人工智能和志愿者合作在预防自杀方面的有效性.
主要方法:
- 开发基于Web的智能代理,利用人工智能 (AI) 和知识图技术.
- 每天监控微博上的"树洞"网站,寻找与自杀有关的帖子.
- 组织一个大型的志愿者团队 (Tree-hole Rescue Team) 以基于人工智能的通知进行在线自杀干预.
主要成果:
- 基于人工智能的智能代理成功地从社交媒体数据中识别出潜在的自杀企图.
- 在人工智能通知的指导下,树洞救援队在2018年至2023年间干预了超过6600起自杀案件.
- 数以千计的个人通过这个人工智能驱动的系统获得了拯救生命的干预措施.
结论:
- 由人工智能和知识图表驱动的基于网络的智能代理在检测社交媒体上的自杀信号方面是有效的.
- 涉及人工智能监测和人类志愿者的协作方法可以显著提高预防自杀的努力.
- 知识图表技术在心理健康环境中对社交媒体内容的语义分析有希望.
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