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

Ethical, Legal, and Social Issues in AI (209) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (3205) Peer-to-Peer Support and Online Communities (1000) Natural Language Processing (1277) Depression and Mood Disorders; Suicide Prevention (2458) Intentional Self-Harm (190) Chatbots and Conversational Agents (1175)

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/86265, first published .
Sad young woman looking at phone, with supportive hands reaching out

Suicidal Ideation in Online Spaces Through the Lens of Interpersonal Theory of Suicide: Exploratory Study of Self-Disclosure, Peer Support, and AI Responses

Suicidal Ideation in Online Spaces Through the Lens of Interpersonal Theory of Suicide: Exploratory Study of Self-Disclosure, Peer Support, and AI Responses

Authors of this article:

Soorya Ram Shimgekar1 Author Orcid Image ;   Violeta J Rodriguez2 Author Orcid Image ;   Paul A Bloom3 Author Orcid Image ;   Dong Whi Yoo4 Author Orcid Image ;   Koustuv Saha1 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Journals

  1. Li M, Huang W, Wu J, Kuang N, Luo Y, Huang J, Huang N. Large language models in adolescent suicide prevention: from language signals to accountable action. Frontiers in Public Health 2026;14 View