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Published on in Vol 23, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32167, first published .
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Pragmatics to Reveal Intent in Social Media Peer Interactions: Mixed Methods Study

Pragmatics to Reveal Intent in Social Media Peer Interactions: Mixed Methods Study

Journals

  1. Singh T, Roberts K, Cohen T, Cobb N, Franklin A, Myneni S. Discerning conversational context in online health communities for personalized digital behavior change solutions using Pragmatics to Reveal Intent in Social Media (PRISM) framework. Journal of Biomedical Informatics 2023;140:104324 View
  2. Singh T, Roberts K, Fujimoto K, Wang J, Johnson C, Myneni S. Toward Personalized Digital Experiences to Promote Diabetes Self-Management: Mixed Methods Social Computing Approach. JMIR Diabetes 2025;10:e60109 View
  3. Hudon A, Perry K, Plate A, Doucet A, Ducharme L, Djona O, Testart Aguirre C, Evoy G. Navigating the Maze of Social Media Disinformation on Psychiatric Illness and Charting Paths to Reliable Information for Mental Health Professionals: Observational Study of TikTok Videos. Journal of Medical Internet Research 2025;27:e64225 View
  4. Singh T, Zhou R, Fujimoto K, Myneni S. Content matters, context matters: unraveling behavior dynamics in an online health community for tobacco cessation. JAMIA Open 2026;9(3) View

Conference Proceedings

  1. Uetova E, Hederman L, Ross R, Oppezzo M, O'Sullivan D. Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. Understanding Group Engagement in Online Peer Support Groups: Influence of Structured Elements and Organic Interactions View