ArticleJournal of medical Internet research2020
Collective Response to Media Coverage of the COVID-19 Pandemic on Reddit and Wikipedia: Mixed-Methods Analysis.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 2 of them syntheses that pooled it.
What it found
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Who cites it
57 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Media Framing and Portrayals of Ransomware Impacts on Informatics, Employees, and Patients: Systematic Media Literature Review.Journal of medical Internet research · 2025Pooled it
- The Impact and Applications of Social Media Platforms for Public Health Responses Before and During the COVID-19 Pandemic: Systematic Literature Review.Journal of medical Internet research · 2022Pooled it
- Social Contagion in COVID-19 Discussions Within the Belgian Reddit Community: Statistical and Modeling Study.Journal of medical Internet research · 2026Article
- Article
- Understanding Loneliness Through Analysis of Twitter and Reddit Data: Comparative Study.Interactive journal of medical research · 2025Article
- Dynamics and triggers of misinformation on vaccines.PloS one · 2025Article
- Factors influencing risk perception during Public Health Emergencies of International Concern (PHEIC): a scoping review.BMC public health · 2024Article
- Article
- Evaluating the Effectiveness of School Closure in COVID-19-Related Syndromes From Community-Based Syndromic Surveillance: Longitudinal Observational Study.Interactive journal of medical research · 2023Article
- COVID-19 infodemic and health-related quality of life in patients with chronic respiratory diseases: A multicentre, observational study.Journal of global health · 2023Observational
- Article
- Crowdsourcing Knowledge Production of COVID-19 Information on Japanese Wikipedia in the Face of Uncertainty: Empirical Analysis.Journal of medical Internet research · 2023Article
- Concerns over COVID-19 and prejudice: Pre- and during-pandemic in Italy.Psychological reports · 2023Article
- Rapid response nursing triage outcomes for COVID-19: factors associated with patient's participation in triage recommendations.BMC medical informatics and decision making · 2023Article
- COVID-19-Related Changes to Drug-Selling Networks and Their Effects on People Who Use Illicit Opioids.Journal of studies on alcohol and drugs · 2023Article
- User-Chatbot Conversations During the COVID-19 Pandemic: Study Based on Topic Modeling and Sentiment Analysis.Journal of medical Internet research · 2023Article
- Wikipedia page views for health research: a review.Frontiers in big data · 2023Review
- Protective behaviors during COVID-19 confinement measures in Greece: the role of anxiety, perceived risk and risky-choice framing.AIMS public health · 2023Article
- Public Attitudes Towards Vaccine Passports in Alberta During the "Pandemic of the Unvaccinated": A Qualitative Analysis of Reddit Posts.International journal of public health · 2023Article
- What's hot and what's not in lay psychology: Wikipedia's most-viewed articles.Current psychology (New Brunswick, N.J.) · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe exposure and consumption of information during epidemic outbreaks may alter people's risk perception and trigger behavioral changes, which can ultimately affect the evolution of the disease. It is thus of utmost importance to map the dissemination of information by mainstream media outlets and the public response to this information. However, our understanding of this exposure-response dynamic during the COVID-19 pandemic is still limited.
objectiveThe goal of this study is to characterize the media coverage and collective internet response to the COVID-19 pandemic in four countries: Italy, the United Kingdom, the United States, and Canada.
methodsWe collected a heterogeneous data set including 227,768 web-based news articles and 13,448 YouTube videos published by mainstream media outlets, 107,898 user posts and 3,829,309 comments on the social media platform Reddit, and 278,456,892 views of COVID-19-related Wikipedia pages. To analyze the relationship between media coverage, epidemic progression, and users' collective web-based response, we considered a linear regression model that predicts the public response for each country given the amount of news exposure. We also applied topic modelling to the data set using nonnegative matrix factorization.
resultsOur results show that public attention, quantified as user activity on Reddit and active searches on Wikipedia pages, is mainly driven by media coverage; meanwhile, this activity declines rapidly while news exposure and COVID-19 incidence remain high. Furthermore, using an unsupervised, dynamic topic modeling approach, we show that while the levels of attention dedicated to different topics by media outlets and internet users are in good accordance, interesting deviations emerge in their temporal patterns.
conclusionsOverall, our findings offer an additional key to interpret public perception and response to the current global health emergency and raise questions about the effects of attention saturation on people's collective awareness and risk perception and thus on their tendencies toward behavioral change.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.