Investigating the heterogenous effects of a massive content moderation intervention via Difference-in-Differences
Lorenzo Cima, Benedetta Tessa, Stefano Cresci, Amaury Trujillo, Marco Avvenuti

TL;DR
This study evaluates the effects of Reddit's large-scale deplatforming intervention, revealing mixed outcomes including user departure, reduced toxicity, and increased toxicity among a small subset, providing nuanced insights into moderation effectiveness.
Contribution
The paper applies causal inference to analyze heterogenous effects of a major content moderation intervention, offering detailed insights into its varied impacts on user behavior.
Findings
15.6% of users left the platform
Overall toxicity decreased by 4.1%
A small subset increased toxicity and activity
Abstract
In today's online environments, users encounter harm and abuse on a daily basis. Therefore, content moderation is crucial to ensure their safety and well-being. However, the effectiveness of many moderation interventions is still uncertain. Here, we apply a causal inference approach to shed light on the effectiveness of The Great Ban, a massive social media deplatforming intervention on Reddit. We analyze 53M comments shared by nearly 34K users, providing in-depth results on both the intended and unintended consequences of the ban. Our causal analyses reveal that 15.6% of the moderated users abandoned the platform while the remaining ones decreased their overall toxicity by 4.1%. Nonetheless, a small subset of users exhibited marked increases in both the intensity and volume of toxic behavior, particularly among those whose activity levels changed after the intervention. However, these…
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Taxonomy
TopicsWildlife Conservation and Criminology Analyses · Crime, Illicit Activities, and Governance · Crime Patterns and Interventions
