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

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 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 2024 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. Health Organizations and Public Interaction on Instagram: A Study of Topics, Emotions, and Sentiment (Preprint). JMIR Infodemiology 2024 View