{
  "id": 3625,
  "url": "https://arxiv.org/abs/2605.27911v1",
  "title": "SuiChat-CN: Benchmarking Contextual Suicide Risk Assessment in Chinese Group Chats",
  "summary": "Suicide is a critical global public health challenge, causing approximately 720,000 deaths each year and calling for timely, effective prevention strategies. Existing computational studies primarily focus on post-based social media platforms such as Twitter and Weibo, leaving instant messaging environments such as Telegram underexplored. Yet group chats pose distinct challenges: messages are short, fragmented, multi-party, and often rely on implicit or culturally specific expressions, making iso",
  "authors": "Xiangyu Wang, Zhiwei Yu, Chengze Du, Dingchang Wang, Yuhan Ye, Fangyu Zheng",
  "category": "research",
  "topics": "healthcare,environment",
  "orgs": null,
  "regions": "china",
  "published_at": "2026-05-27T03:37:56.000Z",
  "fetched_at": "2026-07-14T16:30:23.247Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/3625",
  "original_url": "https://arxiv.org/abs/2605.27911v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}