Published on in Vol 22, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21597, first published .
Collective Response to Media Coverage of the COVID-19 Pandemic on Reddit and Wikipedia: Mixed-Methods Analysis

Collective Response to Media Coverage of the COVID-19 Pandemic on Reddit and Wikipedia: Mixed-Methods Analysis

Collective Response to Media Coverage of the COVID-19 Pandemic on Reddit and Wikipedia: Mixed-Methods Analysis

Journals

  1. Stella M. Cognitive Network Science Reconstructs How Experts, News Outlets and Social Media Perceived the COVID-19 Pandemic. Systems 2020;8(4):38 View
  2. de Melo T, Figueiredo C. Comparing News Articles and Tweets About COVID-19 in Brazil: Sentiment Analysis and Topic Modeling Approach. JMIR Public Health and Surveillance 2021;7(2):e24585 View
  3. O'Halloran K, Pal G, Jin M. Multimodal approach to analysing big social and news media data. Discourse, Context & Media 2021;40:100467 View
  4. Chrzanowski J, Sołek J, Fendler W, Jemielniak D. Assessing Public Interest Based on Wikipedia’s Most Visited Medical Articles During the SARS-CoV-2 Outbreak: Search Trends Analysis. Journal of Medical Internet Research 2021;23(4):e26331 View
  5. Abulof U, Penne S, Pu B. The pandemic politics of existential anxiety: Between steadfast resistance and flexible resilience. International Political Science Review 2021;42(3):350 View
  6. Perra N. Non-pharmaceutical interventions during the COVID-19 pandemic: A review. Physics Reports 2021;913:1 View
  7. Álvarez-Mon M, Rodríguez-Quiroga A, de Anta L, Quintero J. Aplicaciones médicas de las redes sociales. Aspectos específicos de la pandemia de la COVID-19. Medicine - Programa de Formación Médica Continuada Acreditado 2020;13(23):1305 View
  8. Chum A, Nielsen A, Bellows Z, Farrell E, Durette P, Banda J, Cupchik G. Changes in public response associated with various COVID-19 restrictions in Ontario, Canada: an observational study using social media time series data (Preprint). Journal of Medical Internet Research 2021 View
  9. Tsao S, Chen H, Tisseverasinghe T, Yang Y, Li L, Butt Z. What social media told us in the time of COVID-19: a scoping review. The Lancet Digital Health 2021;3(3):e175 View
  10. Bracci A, Nadini M, Aliapoulios M, McCoy D, Gray I, Teytelboym A, Gallo A, Baronchelli A. Dark Web Marketplaces and COVID-19: before the vaccine. EPJ Data Science 2021;10(1) View
  11. Bunting A, Frank D, Arshonsky J, Bragg M, Friedman S, Krawczyk N. Socially-supportive norms and mutual aid of people who use opioids: An analysis of Reddit during the initial COVID-19 pandemic. Drug and Alcohol Dependence 2021;222:108672 View
  12. Miczo N. The ethics of news media reporting on coronavirus humor. HUMOR 2021;34(2):305 View
  13. Shah A, Naqvi R, Jeong O. Detecting Topic and Sentiment Trends in Physician Rating Websites: Analysis of Online Reviews Using 3-Wave Datasets. International Journal of Environmental Research and Public Health 2021;18(9):4743 View
  14. Roszkowski M, Włodarczyk B. COVID-19 and the social organization of knowledge in Wikipedia: a study of social representations. Journal of Documentation 2021;ahead-of-print(ahead-of-print) View
  15. Mangono T, Smittenaar P, Caplan Y, Huang V, Sutermaster S, Kemp H, Sgaier S. Information-Seeking Patterns During the COVID-19 Pandemic Across the United States: Longitudinal Analysis of Google Trends Data. Journal of Medical Internet Research 2021;23(5):e22933 View
  16. Zhu H, Liu K. Capturing the Interplay between Risk Perception and Social Media Posting to Support Risk Response and Decision Making. International Journal of Environmental Research and Public Health 2021;18(10):5220 View
  17. Himelein-Wachowiak M, Giorgi S, Devoto A, Rahman M, Ungar L, Schwartz H, Epstein D, Leggio L, Curtis B. Bots and Misinformation Spread on Social Media: Implications for COVID-19. Journal of Medical Internet Research 2021;23(5):e26933 View
  18. Sumner R, Kinsella E. “It's Like a Kick in the Teeth”: The Emergence of Novel Predictors of Burnout in Frontline Workers During Covid-19. Frontiers in Psychology 2021;12 View
  19. Massey D, Huang C, Lu Y, Cohen A, Oren Y, Moed T, Matzner P, Mahajan S, Caraballo C, Kumar N, Xue Y, Ding Q, Dreyer R, Roy B, Krumholz H. Engagement With COVID-19 Public Health Measures in the United States: A Cross-sectional Social Media Analysis from June to November 2020. Journal of Medical Internet Research 2021;23(6):e26655 View
  20. Liu Y, Whitfield C, Zhang T, Hauser A, Reynolds T, Anwar M. Monitoring COVID-19 pandemic through the lens of social media using natural language processing and machine learning. Health Information Science and Systems 2021;9(1) View
  21. Ersoy M, Dambo T. Covering the Covid-19 Pandemic Using Peace Journalism Approach. Journalism Practice 2021:1 View
  22. Jemielniak D, Rychwalska A, Talaga S, Ziembowicz K. Wikiproject Tropical Cyclones: The most successful crowd-sourced knowledge project with near real-time coverage of extreme weather phenomena. Weather and Climate Extremes 2021:100354 View
  23. MacKay M, Colangeli T, Gillis D, McWhirter J, Papadopoulos A. Examining Social Media Crisis Communication during Early COVID-19 from Public Health and News Media for Quality, Content, and Corresponding Public Sentiment. International Journal of Environmental Research and Public Health 2021;18(15):7986 View