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

Patient Engagement and Empowerment (33) Peer-to-Peer Support and Online Communities (652) Smoking Cessation (566)

Published on in Vol 10, No 3 (2018): Jul-Sept

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9745, first published .
Content-Sensitive Characterization of Peer Interactions of Highly Engaged Users in an Online Community for Smoking Cessation: Mixed-Methods Approach for Modeling User Engagement in Health Promotion Interventions

Content-Sensitive Characterization of Peer Interactions of Highly Engaged Users in an Online Community for Smoking Cessation: Mixed-Methods Approach for Modeling User Engagement in Health Promotion Interventions

Content-Sensitive Characterization of Peer Interactions of Highly Engaged Users in an Online Community for Smoking Cessation: Mixed-Methods Approach for Modeling User Engagement in Health Promotion Interventions

Authors of this article:

Sahiti Myneni1 Author Orcid Image ;   Vishnupriya Sridharan1 Author Orcid Image ;   Nathan Cobb2 Author Orcid Image ;   Trevor Cohen1 Author Orcid Image
Article Authors Cited by (3) Tweetations (8) Metrics

Journals

  1. Mirzaei T, Esmaeilzadeh P. Engagement in online health communities: Channel expansion and social exchanges. Information & Management 2021;58(1):103404 View
  2. Qian Y, Gui W, Ma F, Dong Q. Exploring features of social support in a Chinese online smoking cessation community: A multidimensional content analysis of user interaction data. Health Informatics Journal 2021;27(2) View
  3. 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