arXiv:2607.05685v1 Announce Type: cross Abstract: Large language models are increasingly used as private, always-available conversational systems, but little is known about how people with depressive symptoms use them. Building on CSCW work on disclosure and peer support, we examine ChatGPT as an emerging informal support infrastructure: private, persistent, responsive, and available outside ordinary hours. We analyze 187,093 ChatGPT conversations from 766 participants who completed the PHQ-8, comparing those below the moderate-symptom threshold (score of 10) with those at or above it. Higher-
The proliferation of always-available large language models like ChatGPT necessitates understanding their impact on user behavior, particularly for vulnerable populations.
This research provides critical insights into the real-world applications and behavioral patterns emerging from human-AI interaction, highlighting potential for both support and risk in mental health contexts.
Our understanding of how individuals, especially those with depressive symptoms, are utilizing AI conversational systems for informal support is evolving, influencing future AI design and ethical guidelines.
- · AI developers
- · Mental health researchers
- · Patients seeking informal support
- · Ethical AI frameworks
- · Traditional mental healthcare providers (potentially)
- · AI systems lacking ethical safeguards
Increased research into therapeutic applications and potential harms of AI in mental health.
Development of specialized AI models and interfaces designed specifically for mental health support, with robust ethical oversight.
Shifts in societal norms around seeking mental health support, with AI becoming a widely accepted first-line or supplementary resource.
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Read at arXiv cs.AI