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From politicians to podcast hosts, online platforms have systematicallybanned (``deplatformed'') influential users for breaking platform guidelines.Previous inquiries on the effectiveness of this intervention are inconclusivebecause 1) they consider only few deplatforming events; 2) they consider onlyovert engagement traces (e.g., likes and posts) but not passive engagement(e.g., views); 3) they do not consider all the potential places users impactedby the deplatforming event might migrate to. We address these limitations in alongitudinal, quasi-experimental study of 165 deplatforming events targeted at101 influencers. We collect deplatforming events from Reddit posts and thenmanually curate the data, ensuring the correctness of a large dataset ofdeplatforming events. Then, we link these events to Google Trends and Wikipediapage views, platform-agnostic measures of online attention that capture thegeneral public's interest in specific influencers. Through adifference-in-differences approach, we find that deplatforming reduces onlineattention toward influencers. After 12 months, we estimate that onlineattention toward deplatformed influencers is reduced by -63% (95% CI[-75%,-46%]) on Google and by -43% (95% CI [-57%,-24%]) on Wikipedia. Further,as we study over a hundred deplatforming events, we can analyze in which casesdeplatforming is more or less impactful, revealing nuances about theintervention. Notably, we find that both permanent and temporary deplatformingreduce online attention toward influencers; Overall, this work contributes tothe ongoing effort to map the effectiveness of content moderationinterventions, driving platform governance away from speculation.

Deplatforming Norm-Violating Influencers on Social Media Reduces Overall Online Attention Toward Them