Social Media Polarization and Echo Chambers in the Context of COVID-19: Case Study
Julie Jiang, Xiang Ren, Emilio Ferrara

TL;DR
This study investigates COVID-19 related polarization and echo chambers on Twitter in the US, revealing significant right-leaning community density and implications for public health communication strategies.
Contribution
Introduces Retweet-BERT, a scalable model for user polarity estimation, and provides empirical analysis of echo chamber structures in COVID-19 discourse.
Findings
Right-leaning users are more vocal and active.
Most influential users are partisan, contributing to polarization.
Right-leaning echo chambers are more densely connected and isolated.
Abstract
Background: Social 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. Objective: We 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. Methods: First, we presented Retweet-BERT, a scalable and highly accurate model for estimating user polarity by leveraging…
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