ArticleJMIRx med
Social Media Polarization and Echo Chambers in the Context of COVID-19: Case Study.
Article in JMIRx med. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Drivers of health polarization during the COVID-19 pandemic: A systematic review.Science advances · 2025Pooled it
- Analyzing Misinformation and Disinformation: Understanding Swiss COVID-19 Narratives Through Natural Language Processing Analysis.JMIR infodemiology · 2026Article
- To the moon: Retail investor attention and sentiment across asset types in online media.PloS one · 2026Article
- Regional and temporal patterns of partisan polarization during the COVID-19 pandemic in the United States and Canada.PloS one · 2026Article
- A Risk Taxonomy and Reflection Tool for Large Language Model Adoption in Public Health.Proceedings of the ACM on human-computer interaction · 2025Article
- Political identity and risk politics: Evidence from a pandemic.Risk analysis : an official publication of the Society for Risk Analysis · 2025Article
- Public Health Messaging on Twitter During the COVID-19 Pandemic: Observational Study.Journal of medical Internet research · 2025Observational
- How politics affect pandemic forecasting: spatio-temporal early warning capabilities of different geo-social media topics in the context of state-level political leaning.Frontiers in public health · 2025Article
- Descriptive analysis of TikTok content on vaccination in Arabic.AIMS public health · 2025Article
- Dynamics of temporal influence in polarised networks.PloS one · 2025Article
- Personal values clusters and their associations to social media behaviors and psychological well-being.BMC psychology · 2024Article
- How individuals' opinions influence society's resistance to epidemics: an agent-based model approach.BMC public health · 2024Article
- Capturing Emerging Experiential Knowledge for Vaccination Guidelines Through Natural Language Processing: Proof-of-Concept Study.Journal of medical Internet research · 2023Article
- Staying Home, Tweeting Hope: Mixed Methods Study of Twitter Sentiment Geographical Index During US Stay-At-Home Orders.Journal of medical Internet research · 2023Article
- 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 · 2023Article
- How does Twitter account moderation work? Dynamics of account creation and suspension on Twitter during major geopolitical events.EPJ data science · 2023Article
- An investigation of media reports of digital surveillance within the first year of the COVID-19 pandemic.Frontiers in digital health · 2023Article
- What did the pandemic teach us about effective health communication? Unpacking the COVID-19 infodemic.BMC public health · 2022Article
- Ventilator avoidance among critically ill COVID-19 patients with acute respiratory distress syndrome.The Journal of international medical research · 2022Observational
- Partisan asymmetries in exposure to misinformation.Scientific reports · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSocial media chatter in 2020 has been largely dominated by the COVID-19 pandemic. Existing research shows that COVID-19 discourse is highly politicized, with political preferences linked to beliefs and disbeliefs about the virus. As it happens with topics that become politicized, people may fall into echo chambers, which is the idea that one is only presented with information they already agree with, thereby reinforcing one's confirmation bias. Understanding the relationship between information dissemination and political preference is crucial for effective public health communication.
objectiveWe aimed to study the extent of polarization and examine the structure of echo chambers related to COVID-19 discourse on Twitter in the United States.
methodsFirst, we presented Retweet-BERT, a scalable and highly accurate model for estimating user polarity by leveraging language features and network structures. Then, by analyzing the user polarity predicted by Retweet-BERT, we provided new insights into the characterization of partisan users.
resultsWe observed that right-leaning users were noticeably more vocal and active in the production and consumption of COVID-19 information. We also found that most of the highly influential users were partisan, which may contribute to further polarization. Importantly, while echo chambers exist in both the right- and left-leaning communities, the right-leaning community was by far more densely connected within their echo chamber and isolated from the rest.
conclusionsWe provided empirical evidence that political echo chambers are prevalent, especially in the right-leaning community, which can exacerbate the exposure to information in line with pre-existing users' views. Our findings have broader implications in developing effective public health campaigns and promoting the circulation of factual information online.
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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.