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

Health and Risk Communication (55) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1780) Infodemiology and Infoveillance (1448) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1087) Discourse (39)

Published on in Vol 3 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38245, first published .
Characterizing the Discourse of Popular Diets to Describe Information Dispersal and Identify Leading Voices, Interaction, and Themes of Mental Health: Social Network Analysis

Characterizing the Discourse of Popular Diets to Describe Information Dispersal and Identify Leading Voices, Interaction, and Themes of Mental Health: Social Network Analysis

Characterizing the Discourse of Popular Diets to Describe Information Dispersal and Identify Leading Voices, Interaction, and Themes of Mental Health: Social Network Analysis

Authors of this article:

Melissa C Eaton1 Author Orcid Image ;   Yasmine C Probst1 Author Orcid Image ;   Marc A Smith2 Author Orcid Image
Article Authors Cited by (4) Tweetations (13) Metrics

Journals

  1. Ye C, Fang Y, Lian Y, He Y. Gluten-free diet on video platforms: Retrospective infodemiology study. DIGITAL HEALTH 2024;10 View
  2. Ellis C, Moore J, Ho P, Ahmed W, Evans C. Social network and linguistic analysis of the #nutrition discourse on the social network platform X, formerly known as Twitter. Social Network Analysis and Mining 2024;14(1) View
  3. Hungerford C, Kornhaber R, West S, Cleary M. Autism, Stereotypes, and Stigma: The Impact of Media Representations. Issues in Mental Health Nursing 2025;46(3):254 View
  4. Munir M, Ahmed N. Using Social Media Platforms to Raise Health Awareness and Increase Health Education in Pakistan: Structural Equation Modeling Analysis and Questionnaire Study. JMIR Human Factors 2025;12:e65745 View