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

Quality/Credibility of eHealth Information and Trust Issues (531) JMIR Theme Issue: COVID-19 Special Issue (2452) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Infodemiology and Infoveillance (1349) Public Health (197) Public (e)Health, Digital Epidemiology and Public Health Informatics (725) Information Seeking, Information Needs (465) Policy and Policy Proposals (121)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50199, first published .
Exploring Political Mistrust in Pandemic Risk Communication: Mixed-Method Study Using Social Media Data Analysis

Exploring Political Mistrust in Pandemic Risk Communication: Mixed-Method Study Using Social Media Data Analysis

Exploring Political Mistrust in Pandemic Risk Communication: Mixed-Method Study Using Social Media Data Analysis

Authors of this article:

Ali Unlu1, 2 Author Orcid Image ;   Sophie Truong2 Author Orcid Image ;   Tuukka Tammi1 Author Orcid Image ;   Anna-Leena Lohiniva1 Author Orcid Image
Article Authors Cited by (4) Tweetations (8) Metrics

Journals

  1. Unlu A, Truong S, Sawhney N, Tammi T. Setting the misinformation agenda: Modeling COVID-19 narratives in Twitter communities. New Media & Society 2024 View
  2. Unlu A, Truong S, Sawhney N, Sivelä J, Tammi T. Tracing the dynamics of misinformation and vaccine stance in Finland amid COVID-19. Information, Communication & Society 2024:1 View
  3. Unlu A, Kotonen T. Online polarization and identity politics: An analysis of Facebook discourse on Muslim and LGBTQ+ communities in Finland. Scandinavian Political Studies 2024;47(2):199 View
  4. Unlu A, Truong S, Sawhney N, Tammi T. Unveiling the Veiled Threat: The Impact of Bots on COVID-19 Health Communication. Social Science Computer Review 2024 View