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

Infoveillance and Social Listening (260) Health Care Quality and Health Services Research (295) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1802) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1089) Infodemiology and Infoveillance (1468) Social Media in Public Health informatics (52) Scientometrics, Infometrics, and Altmetrics (110)

Published on in Vol 5 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58227, first published .
Visualizing YouTube Commenters’ Conceptions of the US Health Care System: Semantic Network Analysis Method for Evidence-Based Policy Making

Visualizing YouTube Commenters’ Conceptions of the US Health Care System: Semantic Network Analysis Method for Evidence-Based Policy Making

Visualizing YouTube Commenters’ Conceptions of the US Health Care System: Semantic Network Analysis Method for Evidence-Based Policy Making

Authors of this article:

Lana V Ivanitskaya1 Author Orcid Image ;   Elina Erzikova2 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Bizri-Baryak R, Ivanitskaya L, Erzikova E, Kreps G. Analyzing the Overturn of Roe v. Wade: A Term Co-Occurrence Network Analysis of YouTube Comments. Informatics 2025;12(2):49 View