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

Methods and New Tools in Mental Health Research (898) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (3177) Infodemiology and Infoveillance (1992) Natural Language Processing (1265) Machine Learning (3127) Artificial Intelligence (4697) Data Science (697)

Published on in Vol 13 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76051, first published .
Teenager looking at smartphone, feeling bored on couch

Triaging Casual From Critical—Leveraging Machine Learning to Detect Self-Harm and Suicide Risks for Youth on Social Media: Algorithm Development and Validation Study

Triaging Casual From Critical—Leveraging Machine Learning to Detect Self-Harm and Suicide Risks for Youth on Social Media: Algorithm Development and Validation Study

Authors of this article:

Sarvech Qadir1 Author Orcid Image ;   Ashwaq Alsoubai2 Author Orcid Image ;   Jinkyung Katie Park3 Author Orcid Image ;   Naima Samreen Ali4 Author Orcid Image ;   Munmun De Choudhury5 Author Orcid Image ;   Pamela Wisniewski6 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Journals

  1. . Instagram and Mental Health: Scoping Review with ☸️SAIMSARA. SAIMSARA Journal 2026;1(4) View
  2. 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