Sustained Online Amplification of COVID-19 Elites in the United States
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Abstract (arXiv)
The ongoing, fluid nature of the COVID-19 pandemic requires individuals to regularly seek information about best health practices, local community spreading, and public health guidelines. In the absence of a unified response to the pandemic in the United States and clear, consistent directives from federal and local officials, people have used social media to collectively crowdsource COVID-19 elites, a small set of trusted COVID-19 information sources. We take a census of COVID-19 crowdsourced elites in the United States who have received sustained attention on Twitter during the pandemic. Using a mixed methods approach with a panel of Twitter users linked to public U.S. voter registration records, we find that journalists, media outlets, and political accounts have been consistently amplified around COVID-19, while epidemiologists, public health officials, and medical professionals make up only a small portion of all COVID-19 elites on Twitter. We show that COVID-19 elites vary considerably across demographic groups, and that there are notable racial, geographic, and political similarities and disparities between various groups and the demographics of their elites. With this variation in mind, we discuss the potential for using the disproportionate online voice of crowdsourced COVID-19 elites to equitably promote timely public health information and mitigate rampant misinformation.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Sep 2020.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 0; 2024: 2; 2025: 0; 2026: 1.
4 papers.
- 2021Retweet communities reveal the main sources of hate speechcited by 5
- 2024Does Geo-co-location Matter? A Case Study of Public Health Conversations during COVID-19cited by 0
- 2024#EpiTwitter: Public Health Messaging During the COVID-19 Pandemiccited by 0
- 2026Unmasking Superspreaders: Data-Driven Approaches for Identifying and Comparing Key Influencers of Conspiracy Theories on X.comcited by 0
- 2026Unmasking Superspreaders: Data-Driven Approaches for Identifying and Comparing Key Influencers of Conspiracy Theories on X.com4 Feb 2026
- 2024#EpiTwitter: Public Health Messaging During the COVID-19 Pandemic4 Jun 2024
- 2024Does Geo-co-location Matter? A Case Study of Public Health Conversations during COVID-1928 May 2024
- 2021Retweet communities reveal the main sources of hate speech31 May 2021