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

Quality/Credibility of eHealth Information and Trust Issues (654) JMIR Theme Issue: COVID-19 Special Issue (2554) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1911) Infodemiology and Infoveillance (1558) Public Health (247) Public (e)Health, Digital Epidemiology and Public Health Informatics (1008) Information Seeking, Information Needs (561) Policy and Policy Proposals (150)

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 (13) Tweetations (5) 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 2025;27(7):3973 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 2025;28(2):193 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 2025;43(4):675 View
  5. Yang X, Li G. Psychological and Behavioral Insights From Social Media Users: Natural Language Processing–Based Quantitative Study on Mental Well-Being. JMIR Formative Research 2025;9:e60286 View
  6. Bernal Salazar M, Baraibar-Diez E, Collado-Agudo J. CSR and Corporate Sustainability: Theoretical and Empirical Approaches Based on Data Science in Spanish Tourism Companies. Sustainability 2025;17(6):2768 View
  7. MacEwan S. Leveraging Lessons Learned From the COVID-19 Pandemic to Support Vaccine Adherence. American Journal of Public Health 2025;115(5):651 View
  8. Paradise Vit A, Magid A. Exploring Topics, Emotions, and Sentiments in Health Organization Posts and Public Responses on Instagram: Content Analysis. JMIR Infodemiology 2025;5:e70576 View
  9. Grahn H, Kalsnes B, Isaksson E, Mayerhöffer E, Ólafsson J, Falkheimer J, Henriksen F, Kristensen J, Saari D. Mapping research on disinformation and misinformation across the Nordic countries: An integrative review. Nordicom Review 2025;46(s1):175 View
  10. Nasution R, Purba A, Siregar H, Sihombing J, Lumban Raja R, Harahap A. Health Misinformation on Social Media: A Review of Management and Innovation Perspectives. South Sight: Journal of Media and Society Inquiry 2025;1(1):1 View
  11. Fieldhouse J, Ge J, Randhawa N, Wolking D, Genovese B, Mazet J, Desai A. The intersection of artificial intelligence with qualitative or mixed methods for communicable disease research: a scoping review. Public Health 2025;248:105961 View
  12. Cianciulli A, Santoro E, Manente R, Pacifico A, Quagliarella S, Bruno N, Schettino V, Boccia G. Artificial Intelligence and Digital Technologies Against Health Misinformation: A Scoping Review of Public Health Responses. Healthcare 2025;13(20):2623 View
  13. Dewa Made Alit . History Education in the Age of Disinformation: The Role of Historical Literacy in Social Studies Learning. Jurnal Iqra' : Kajian Ilmu Pendidikan 2025;10(2):452 View