Depression Detection on Social Media with Large Language Models

arXiv:2403.10750v1 Announce Type: new
Abstract: Depression harms. However, due to a lack of mental health awareness and fear of stigma, many patients do not actively seek diagnosis and treatment, leading to detrimental outcomes. Depression detection aims to determine whether an individual suffers from depression by analyzing their history of posts on social media, which can significantly aid in early detection and intervention. It mainly faces two key challenges: 1) it requires professional medical knowledge, and 2) it necessitates both high …

abstract arxiv cs.ai cs.cl depression detection diagnosis fear health history however language language models large language large language models media mental health patients social social media treatment type