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This paper is in the following e-collection/theme issue:

Reviews in Digital Mental Health (535) Infodemiology and Infoveillance (1965) Depression and Mood Disorders; Suicide Prevention (2393) Mass Media/Social Media Communication and Campaigns (785) Intentional Self-Harm (185) Chatbots and Conversational Agents (1135) Generative Language Models Including ChatGPT (1419)

Published on in Vol 13 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/93040, first published .
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Mass Media Narratives of Psychiatric Adverse Events Associated With Generative AI Chatbots: Rapid Scoping Review

Mass Media Narratives of Psychiatric Adverse Events Associated With Generative AI Chatbots: Rapid Scoping Review

Authors of this article:

Van-Han-Alex Chung1 Author Orcid Image ;   Pénélope Bernier2 Author Orcid Image ;   Alexandre Hudon3, 4, 5, 6, 7 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Tahseen H. When AI Colludes: Clinical Reliability of Training and Preference Data as a Trustworthy-AI Criterion. JMIR Mental Health 2026;13:e96894 View
  2. Paquin V, Jiang R, Shah J, Jarvis G, Nickrenz E, Ferrari M, Park M. Knowing How to Ask About Digital Culture in Youth Mental Health Care: A Co‐Designed Tool. Early Intervention in Psychiatry 2026;20(7) View
  3. Ocklenburg S, Mundorf A. AI Never Events: An Increasing Threat to Patient Safety, Medical Science Needs to Prepare for. Journal of Patient Safety 2026 View
  4. Abesadze N, Fernandes A, Rubin E. Conversational Artificial Intelligence and Neuropsychiatric Risk: A Narrative Review and Case-Based Synthesis Proposing a Delusional Feedback Loop. Cureus 2026 View