COVID-19 and social media: Beyond polarization
Giacomo De Nicola, Victor H. Tuekam Mambou, G\"oran Kauermann

TL;DR
This paper analyzes Twitter data to reveal the structure of online discourse during COVID-19, showing the existence of echo chambers, diverse beliefs, and the influential role of moderate users in polarization dynamics.
Contribution
It introduces a network-based latent space model to study the behavior of popular users discussing COVID-19, highlighting the spectrum of beliefs beyond simple polarization.
Findings
Two distinct communities corresponding to pro and anti vaccine groups
Presence of a spectrum of beliefs with moderate users acting as key connectors
Echo chambers are prevalent but not the only feature of the network
Abstract
The COVID-19 pandemic brought upon a massive wave of disinformation, exacerbating polarization in the increasingly divided landscape of online discourse. In this context, popular social media users play a major role, as they have the ability to broadcast messages to large audiences and influence public opinion. In this paper, we make use of openly available data to study the behavior of popular users discussing the pandemic on Twitter. We tackle the issue from a network perspective, considering users as nodes and following relationships as directed edges. The resulting network structure is modeled by embedding the actors in a latent social space, where users closer to one another have a higher probability of following each other. The results suggest the existence of two distinct communities, which can be interpreted as "generally pro" and "generally against" vaccine mandates,…
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Taxonomy
TopicsMisinformation and Its Impacts · Social Media and Politics · Opinion Dynamics and Social Influence
