Is radicalization reinforced by social media censorship?
Justin E. Lane, Kevin McCaffree, F. LeRon Shults

TL;DR
This paper uses an agent-based model to analyze how different social media censorship strategies influence radicalization, finding that centralized banning increases certainty in radical beliefs more than decentralized unfollowing.
Contribution
It introduces a novel agent-based model to compare the effects of decentralized and centralized censorship on radicalization dynamics.
Findings
Both censorship types increase radicalization certainty.
Centralized banning has a stronger effect on radicalization.
Censorship reduces exposure to dissenting views.
Abstract
Radicalized beliefs, such as those tied to QAnon, Russiagate, and other political conspiracy theories, can lead some individuals and groups to engage in violent behavior, as evidenced in recent months. Understanding the mechanisms by which such beliefs are accepted, spread, and intensified is critical for any attempt to mitigate radicalization and avoid increased political polarization. This article presents and agent-based model of a social media network that enables investigation of the effects of censorship on the amount of dissenting information to which agents become exposed and the certainty of their radicalized views. The model explores two forms of censorship: 1) decentralized censorship-in which individuals can choose to break an online social network tie (unfriend or unfollow) with another individual who transmits conflicting beliefs and 2) centralized censorship-in which a…
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Taxonomy
TopicsSocial Media and Politics · Opinion Dynamics and Social Influence · Media Influence and Politics
