标题： 在线心理健康咨询中人工智能与人类撰写回复的语言对比 显示英文标题

标题： Linguistic Comparison of AI- and Human-Written Responses to Online Mental Health Queries

摘要： 数字和在线技术的普及及其广泛应用已经改变了心理健康支持方式，在线心理健康社区（OMHCs）为同侪支持提供了安全空间。最近，生成式人工智能（genAI）和大型语言模型（LLMs）为全天候可扩展的心理健康援助引入了新的可能性，可能增强和补充OMHCs的功能。尽管genAI在提供即时且个性化响应方面显示出潜力，但其在复制人类同侪基于经验的细微支持方面的有效性仍然是一个开放的问题。 在这项研究中，我们利用了来自Reddit上55个OMHCs的24,114篇帖子和138,758条在线社区（OC）回复。我们用这些帖子提示了几种最先进的LLMs（GPT-4-Turbo、Llama-3和Mistral-7B），并根据心理语言学和词义语义学的各种语言测量标准比较了它们（AI）的回复与人工撰写（OC）的回复。 我们的研究发现表明，AI回复更加冗长、易读且分析结构化，但缺乏人类互动中固有的语言多样性和个人叙述。通过定性分析，我们发现了AI回复的验证以及对其性质的互补见解，例如其立场的中立性和缺乏来回澄清的倾向。 我们讨论了将生成式AI整合到OMHCs中的伦理和实际影响，并倡导平衡AI的可扩展性和及时性与人类连接所具有的不可替代的真实感、社会互动性和专业知识的框架，这些构成了在线支持社区的核心精神。 显示英文摘要

摘要： The ubiquity and widespread use of digital and online technologies have transformed mental health support, with online mental health communities (OMHCs) providing safe spaces for peer support. More recently, generative AI and large language models (LLMs) have introduced new possibilities for scalable, around-the-clock mental health assistance that could potentially augment and supplement the capabilities of OMHCs. Although genAI shows promise in delivering immediate and personalized responses, their effectiveness in replicating the nuanced, experience-based support of human peers remains an open question. In this study, we harnessed 24,114 posts and 138,758 online community (OC) responses from 55 OMHCs on Reddit. We prompted several state-of-the-art LLMs (GPT-4-Turbo, Llama-3, and Mistral-7B) with these posts, and compared their (AI) responses to human-written (OC) responses based on a variety of linguistic measures across psycholinguistics and lexico-semantics. Our findings revealed that AI responses are more verbose, readable, and analytically structured, but lack linguistic diversity and personal narratives inherent in human-human interactions. Through a qualitative examination, we found validation as well as complementary insights into the nature of AI responses, such as its neutrality of stance and the absence of seeking back-and-forth clarifications. We discuss the ethical and practical implications of integrating generative AI into OMHCs, advocating for frameworks that balance AI's scalability and timeliness with the irreplaceable authenticity, social interactiveness, and expertise of human connections that form the ethos of online support communities.