Published on in Vol 2, No 3 (2021): Jul-Sep

Preprints (earlier versions) of this paper are available at, first published .
Social Media Polarization and Echo Chambers in the Context of COVID-19: Case Study

Social Media Polarization and Echo Chambers in the Context of COVID-19: Case Study

Social Media Polarization and Echo Chambers in the Context of COVID-19: Case Study

Authors of this article:

Julie Jiang1, 2 Author Orcid Image ;   Xiang Ren1 Author Orcid Image ;   Emilio Ferrara1, 2, 3 Author Orcid Image


  1. Jiang J, Ren X, Ferrara E. Authors’ Response to Peer Reviews of “Social Media Polarization and Echo Chambers in the Context of COVID-19: Case Study”. JMIRx Med 2021;2(3):e32266 View
  2. Nawaz F, Barr A, Desai M, Tsagkaris C, Singh R, Klager E, Eibensteiner F, Parvanov E, Hribersek M, Kletecka-Pulker M, Willschke H, Atanasov A. Promoting Research, Awareness, and Discussion on AI in Medicine Using #MedTwitterAI: A Longitudinal Twitter Hashtag Analysis. Frontiers in Public Health 2022;10 View
  3. Rao A, Morstatter F, Lerman K. Partisan asymmetries in exposure to misinformation. Scientific Reports 2022;12(1) View
  4. Manganello J, Chiang S, Cowlin H, Kearney M, Massey P. HPV and COVID-19 vaccines:  Social media use, confidence, and intentions among parents living in different community types in the United States. Journal of Behavioral Medicine 2023;46(1-2):212 View
  5. Fletcher J, Aughenbaugh A, Svabek C, Hahn P, Grifka R. Ventilator avoidance among critically ill COVID-19 patients with acute respiratory distress syndrome. Journal of International Medical Research 2022;50(11):030006052211354 View
  6. Walter S, Stephan A. Situated Affectivity and Mind Shaping: Lessons from Social Psychology. Emotion Review 2023;15(1):3 View
  7. Gupta S, Jain G, Tiwari A. Polarised social media discourse during COVID-19 pandemic: evidence from YouTube. Behaviour & Information Technology 2023;42(2):227 View
  8. Pavelea A, Neamțu B, Pavel A. Do social media reduce compliance with COVID-19 preventive measures?. Policy Studies 2022;43(5):1156 View
  9. Semeraro A, Vilella S, Ruffo G, Stella M. Emotional profiling and cognitive networks unravel how mainstream and alternative press framed AstraZeneca, Pfizer and COVID-19 vaccination campaigns. Scientific Reports 2022;12(1) View
  10. Gupta V, Dass P, Arora R. Pendulating or resonating? A case of echo-chambers in twitter. Journal of Discrete Mathematical Sciences and Cryptography 2022;25(1):231 View
  11. Pierri F, Luceri L, Chen E, Ferrara E. How does Twitter account moderation work? Dynamics of account creation and suspension on Twitter during major geopolitical events. EPJ Data Science 2023;12(1) View
  12. Lösch L, Zuiderent-Jerak T, Kunneman F, Syurina E, Bongers M, Stein M, Chan M, Willems W, Timen A. Capturing Emerging Experiential Knowledge for Vaccination Guidelines Through Natural Language Processing: Proof-of-Concept Study. Journal of Medical Internet Research 2023;25:e44461 View
  13. Etta G, Cinelli M, Galeazzi A, Valensise C, Quattrociocchi W, Conti M. Comparing the Impact of Social Media Regulations on News Consumption. IEEE Transactions on Computational Social Systems 2023;10(3):1252 View
  14. Xia X, Zhang Y, Jiang W, Wu C. Staying Home, Tweeting Hope: Mixed Methods Study of Twitter Sentiment Geographical Index During US Stay-At-Home Orders. Journal of Medical Internet Research 2023;25:e45757 View
  15. Comer L, Donelle L, Ngole M, Shelley J, Kothari A, Smith M, Shelley J, Stranges S, Hiebert B, Gilliland J, Burkell J, Cooke T, Hall J, Long J. An investigation of media reports of digital surveillance within the first year of the COVID-19 pandemic. Frontiers in Digital Health 2023;5 View
  16. Roy M, Gandsman A. Polarizing figures of resistance during epidemics. A comparative frame analysis of the COVID-19 freedom convoy. Critical Public Health 2023;33(5):788 View
  17. Gregory M, Reeves J, Danyluk A, Legg N, Phiri P, Rathod S, Turner B, Paterson T. From facts to feelings: Navigating the complexities of COVID-19 restrictions, perceptions, and mental well-being. Psychiatry Research 2024;334:115802 View
  18. Yu G, Garee M, Ventresca M, Yih Y. How individuals’ opinions influence society’s resistance to epidemics: an agent-based model approach. BMC Public Health 2024;24(1) View
  19. Lam C, Chan C. A text mining and machine learning study on the trends of and dynamics between collective action and mental health in politically polarized online environments. Journal of Computational Social Science 2024 View

Books/Policy Documents

  1. Kabir M, Madria S. Conceptual Modeling. View
  2. Le B, Spina D, Scholer F, Chia H. Advances in Bias and Fairness in Information Retrieval. View
  3. Alvelos H, Pereira J, Chatterjee A, Barreto S, da Veiga P, Lima C, Penedos-Santiago E. Advances in Design and Digital Communication IV. View
  4. Moreno-Ortiz A. Making Sense of Large Social Media Corpora. View
  5. Moreno-Ortiz A. Making Sense of Large Social Media Corpora. View