AI RESEARCH
SuiChat-CN: Benchmarking Contextual Suicide Risk Assessment in Chinese Group Chats
arXiv CS.AI
•
ArXi:2605.27911v1 Announce Type: new 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 isolated post-level analysis insufficient. We.