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

Peer-to-Peer Support and Online Communities (813) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1932) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1146) Participatory Medicine & E-Patients (882) Innovations in Mental Health Systems (495) Infoveillance and Social Listening (317)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/74912, first published .
Understanding How Discourse Themes in an Online Mental Health Community on Twitter/X Drive Varied Population-Specific Empowerment Processes in Alignment With Global Standards: A Qualitative Analysis of #BipolarClub

Understanding How Discourse Themes in an Online Mental Health Community on Twitter/X Drive Varied Population-Specific Empowerment Processes in Alignment With Global Standards: A Qualitative Analysis of #BipolarClub

Understanding How Discourse Themes in an Online Mental Health Community on Twitter/X Drive Varied Population-Specific Empowerment Processes in Alignment With Global Standards: A Qualitative Analysis of #BipolarClub

Authors of this article:

Horeya AbouWarda1 Author Orcid Image ;   Gianluca Miscione2, 3 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Geng S, Li Y, Wang J, Chen P, Wu X, Zhang Z. Predictors of Professional Responses in Nonprofit Mental Health Forums: Interpretable Machine Learning Analysis. Journal of Medical Internet Research 2026;28:e74359 View