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

Journals

  1. Howard D, Maslej M, Lee J, Ritchie J, Woollard G, French L. Transfer Learning for Risk Classification of Social Media Posts: Model Evaluation Study. Journal of Medical Internet Research 2020;22(5):e15371 View
  2. Bickman L. Improving Mental Health Services: A 50-Year Journey from Randomized Experiments to Artificial Intelligence and Precision Mental Health. Administration and Policy in Mental Health and Mental Health Services Research 2020;47(5):795 View
  3. Jiang M, Ammerman B, Zeng Q, Jacobucci R, Brodersen A. Phrase-level pairwise topic modeling to uncover helpful peer responses to online suicidal crises. Humanities and Social Sciences Communications 2020;7(1) View
  4. Resnik P, Foreman A, Kuchuk M, Musacchio Schafer K, Pinkham B. Naturally occurring language as a source of evidence in suicide prevention. Suicide and Life-Threatening Behavior 2021;51(1):88 View
  5. Kahl B, Miller H, Cairns K, Giniunas H, Nicholas M. Evaluation of ReachOut.com, an Unstructured Digital Youth Mental Health Intervention: Prospective Cohort Study. JMIR Mental Health 2020;7(10):e21280 View
  6. Gooding P, Kariotis T. Ethics and Law in Research on Algorithmic and Data-Driven Technology in Mental Health Care: Scoping Review. JMIR Mental Health 2021;8(6):e24668 View