Published on in Vol 7, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31834, first published .
The Spread of COVID-19 Crisis Communication by German Public Authorities and Experts on Twitter: Quantitative Content Analysis

The Spread of COVID-19 Crisis Communication by German Public Authorities and Experts on Twitter: Quantitative Content Analysis

The Spread of COVID-19 Crisis Communication by German Public Authorities and Experts on Twitter: Quantitative Content Analysis

Journals

  1. Balakina J. COVID-19 pandemic in Germany: information campaign, media, society. Baltic Region 2022;14(3):83 View
  2. Chin H, Lima G, Shin M, Zhunis A, Cha C, Choi J, Cha M. User-Chatbot Conversations During the COVID-19 Pandemic: Study Based on Topic Modeling and Sentiment Analysis. Journal of Medical Internet Research 2023;25:e40922 View
  3. Su Z, Zhang H, McDonnell D, Ahmad J, Cheshmehzangi A, Yuan C. Crisis communication strategies for health officials. Frontiers in Public Health 2022;10 View
  4. Etienne D, Archambault P, Aziaka D, Chipenda-Dansokho S, Dubé E, Fallon C, Hakim H, Kindrachuk J, Krecoum D, MacDonald S, Ndjaboue R, Noubi M, Paquette J, Parent E, Witteman H. A Personalized Avatar-Based Web Application to Help People Understand How Social Distancing Can Reduce the Spread of COVID-19: Cross-sectional, Observational, Pre-Post Study. JMIR Formative Research 2023;7:e38430 View
  5. Drescher L, Roosen J, Aue K, Dressel K, Schär W, Götz A. Emotionalität in der COVID-19-Krisenkommunikation von Behörden und unabhängigen Expert*innen auf Twitter. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2023;66(6):689 View
  6. Zurro-Antón N, Moreno Á, Humanes M. CERC como modelo de investigación en crecimiento: análisis de su aplicación en las estrategias de comunicación de emergencias sanitarias en la última década. Estudios sobre el Mensaje Periodístico 2023;29(2):395 View
  7. Kresovich A, Norris A, Carter C, Kim Y, Kostygina G, Emery S. Deciphering Influence on Social Media: A Comparative Analysis of Influential Account Detection Metrics in the Context of Tobacco Promotion. Social Media + Society 2024;10(1) View
  8. Gyftopoulos S, Drosatos G, Fico G, Pecchia L, Kaldoudi E. Analysis of Pharmaceutical Companies’ Social Media Activity during the COVID-19 Pandemic and Its Impact on the Public. Behavioral Sciences 2024;14(2):128 View
  9. Mohamed Nour M, Kisa A. Political Leaders’ Communication Strategies during COVID-19 in Highly Infected Countries: A Scoping Review. Healthcare 2024;12(6):607 View
  10. Oliveira E, Nascimento A, Ferreira Junior W, Albuquerque U, Limongi R. How does prestige bias affect information recall during a pandemic?. PLOS ONE 2024;19(5):e0303512 View
  11. Minini V. “Italy is simply extraordinary”: nation branding between tradition and innovation. Place Branding and Public Diplomacy 2024 View
  12. Wu T, Yu G. Persuasive Effects of Crisis Communication during Public Health Emergency Outbreaks in China. Behavioral Sciences 2024;14(10):885 View

Books/Policy Documents

  1. Gyftopoulos S, Drosatos G, Pecchia L, Fico G, Kaldoudi E. MEDICON’23 and CMBEBIH’23. View