A new study analyzed 187,093 ChatGPT conversations from 766 participants to understand how individuals with depressive symptoms use the AI. The research found that participants with higher depression scores (PHQ-8 of 10 or more) used ChatGPT more frequently for conversations related to mental health, interpersonal issues, loneliness, and self-focused topics. These users also exhibited distinct usage patterns, including more late-night interactions and recurring monthly engagement, along with a greater use of first-person singular pronouns and absolutist language. While the study suggests ChatGPT is increasingly used as an informal support infrastructure, the predictive accuracy for screening depression based on language alone was modest. AI
IMPACT Reveals how LLMs are being adopted as informal mental health support, highlighting potential for new user interfaces and support infrastructure.
RANK_REASON Academic paper detailing a study on LLM usage patterns. [lever_c_demoted from research: ic=1 ai=1.0]
- alphaXiv
- arXiv
- CatalyzeX
- ChatGPT
- Connected Papers
- DagsHub
- Gotit.pub
- Hugging Face
- Litmaps
- PHQ-8 Days: a measurement option for DSM-5 Major Depressive Disorder (MDD) severity
- ScienceCast
- scite Smart Citations
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