The Colorful Future of LLMs: Evaluating and Improving LLMs as Emotional Supporters for Queer Youth

arXiv:2402.11886v1 Announce Type: new
Abstract: Queer youth face increased mental health risks, such as depression, anxiety, and suicidal ideation. Hindered by negative stigma, they often avoid seeking help and rely on online resources, which may provide incompatible information. Although access to a supportive environment and reliable information is invaluable, many queer youth worldwide have no access to such support. However, this could soon change due to the rapid adoption of Large Language Models (LLMs) such as ChatGPT. This paper aims …

abstract anxiety arxiv cs.ai cs.cl depression environment face future health ideation information llms mental health negative queer resources risks type