分析1万+TikTok评论，发现用户视LLM为高效情感支持工具。
"It Listens Better Than My Therapist": Exploring Social Media Discourse on LLMs as Mental Health Tool
- 通过分级编码与分类模型分析社交平台评论
- 近20%用户自述使用，普遍认可其可及性与情感价值
- 适合关注AI心理辅助的普通用户与研究者
生成式AI聊天机器人（如ChatGPT）正引发公众与学术界对其作为非正式心理支持工具的关注。尽管早期基于规则的系统已存在多年，大型语言模型（LLMs）在对话流畅性、共情模拟和可用性方面展现出新能力。本研究通过分析超过10,000条提及LLM作为心理支持工具的TikTok视频评论，采用自研分层编码方案与监督分类模型，识别用户使用体验、态度及重复主题。结果显示，近20%的评论反映个人使用经历，使用者普遍持积极态度；常见益处包括可及性、情绪支持及感知治疗价值。但隐私担忧、回应泛化及缺乏专业监管仍是主要关切。需注意的是，用户反馈未揭示模型输出是否对应特定治疗框架。研究凸显了人工智能在日常心理实践中的日益重要性，也强调了临床与伦理审查的紧迫性。
原文摘要 · Abstract (English)
The emergence of generative AI chatbots such as ChatGPT has prompted growing public and academic interest in their role as informal mental health support tools. While early rule-based systems have been around for several years, large language models (LLMs) offer new capabilities in conversational fluency, empathy simulation, and availability. This study explores how users engage with LLMs as mental health tools by analyzing over 10,000 TikTok comments from videos referencing LLMs as mental health tools. Using a self-developed tiered coding schema and supervised classification models, we identify user experiences, attitudes, and recurring themes. Results show that nearly 20% of comments reflect personal use, with these users expressing overwhelmingly positive attitudes. Commonly cited benefits include accessibility, emotional support, and perceived therapeutic value. However, concerns around privacy, generic responses, and the lack of professional oversight remain prominent. It is important to note that the user feedback does not indicate which therapeutic framework, if any, the LLM-generated output aligns with. While the findings underscore the growing relevance of AI in everyday practices, they also highlight the urgent need for clinical and ethical scrutiny in the use of AI for mental health support.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。