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

Peer-to-Peer Support and Online Communities (797) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2111) Machine Learning (2076) Natural Language Processing (917) Depression and Mood Disorders; Suicide Prevention (1691) Mental Health Issues in Adolescence (637)

Published on in Vol 21, No 4 (2019): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11410, first published .
Improving Moderator Responsiveness in Online Peer Support Through Automated Triage

Improving Moderator Responsiveness in Online Peer Support Through Automated Triage

Improving Moderator Responsiveness in Online Peer Support Through Automated Triage

Authors of this article:

David N Milne1, 2 Author Orcid Image ;   Kathryn L. McCabe2, 3, 4 Author Orcid Image ;   Rafael A. Calvo2, 5 Author Orcid Image
Article Authors Cited by (22) Tweetations (3) Metrics

Journals

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  11. Buddhitha P, Inkpen D. Multi-task learning to detect suicide ideation and mental disorders among social media users. Frontiers in Research Metrics and Analytics 2023;8 View
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  17. Wang T, Bruckman A, Yang D. The Practice of Online Peer Counseling and the Potential for AI-Powered Support Tools. Proceedings of the ACM on Human-Computer Interaction 2025;9(2):1 View
  18. Esmaeilzadeh P. Decoding the cry for help: AI's emerging role in suicide risk assessment. AI and Ethics 2025;5(5):4645 View
  19. Robinson H, Booth M, Fothergill L, Friedrich C, Glossop Z, Haines J, Harding A, Johnston R, Jones S, Machin K, Meacock R, Nielson K, Marshall P, Puddephatt J, Rakić T, Rayson P, Rycroft-Malone J, Shryane N, Swithenbank Z, Wise S, Lobban F. Understanding the Needs of Moderators in Online Mental Health Forums: Realist Synthesis and Recommendations for Support. JMIR Mental Health 2025;12:e58891 View
  20. Lim Z, Lim S, Lu S, Gutman L. Barriers and Enablers to Young People’s Posting, Responding, and Reading Behaviors on Mental Health Forums Using the Behavior Change Wheel: Qualitative Study. JMIR Human Factors 2025;12:e71549 View

Conference Proceedings

  1. Zhao Q, Xiao Y, Long Y. 2021 IEEE 2nd International Conference on Pattern Recognition and Machine Learning (PRML). Multi-task CNN for Abusive Language Detection View
  2. Wen R, Crowe S, Gupta K, Li X, Billinghurst M, Hoermann S, Allan D, Nassani A, Piumsomboon T. Proceedings of the 36th Australasian Conference on Human-Computer Interaction. Large Language Models for Automatic Detection of Sensitive Topics View