bioRxiv / medRxiv
open access
CC BY 4.0
Labeling and Disclosure of AI-generated Mental Health Content on TikTok
TikTok has become a significant source of health information, and concern has grown about AI-generated content (henceforth, AIGC) as a vehicle for health misinformation. Where AIGC presents realistic-appearing people giving health advice, disclosure labels are the viewers only reliable cue that wha
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- AI-POWERED MENTAL HEALTH MOBILE APPLICATIONS: AN LLM-ASSISTED SENTIMENTAL ANALYSIS OF USERS REVIEWS#1097470
- Disclosure is not destigmatization: rethinking AI and mental health stigma.#367915
- Mental Health and AI Confidentiality#691870
- StayOK - an Innovative Measuring Instrument for the Early Identification and Treatment of Psychosocial Risks#909247
- Generative AI use before medical visits: disclosure-item responses, trust, and care-seeking behaviors in a cross-sectional social-media survey in Poland.#685474
Record · ID 1043977
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive