The systemic impact of deplatforming on social media

Author:

Mekacher Amin1,Falkenberg Max1ORCID,Baronchelli Andrea12ORCID

Affiliation:

1. Department of Mathematics, City University of London , London EC1V 0HB , UK

2. The Alan Turing Institute, British Library , London NW1 2DB , UK {C}%3C!%2D%2D%7C%7CrmComment%7C%7C%3C~show%20%5BAQ%20ID%3DAQ1%5D~%3E%2D%2D%3E

Abstract

Abstract Deplatforming, or banning malicious accounts from social media, is a key tool for moderating online harms. However, the consequences of deplatforming for the wider social media ecosystem have been largely overlooked so far, due to the difficulty of tracking banned users. Here, we address this gap by studying the ban-induced platform migration from Twitter to Gettr. With a matched dataset of 15M Gettr posts and 12M Twitter tweets, we show that users active on both platforms post similar content as users active on Gettr but banned from Twitter, but the latter have higher retention and are 5 times more active. Our results suggest that increased Gettr use is not associated with a substantial increase in user toxicity over time. In fact, we reveal that matched users are more toxic on Twitter, where they can engage in abusive cross-ideological interactions, than Gettr. Our analysis shows that the matched cohort are ideologically aligned with the far-right, and that the ability to interact with political opponents may be part of Twitter’s appeal to these users. Finally, we identify structural changes in the Gettr network preceding the 2023 Brasília insurrections, highlighting the risks that poorly regulated social media platforms may pose to democratic life.

Publisher

Oxford University Press (OUP)

Reference75 articles.

1. Addressing hate speech on social media: contemporary challenges;UNESCO, U. N. O. on Genocide Prevention, and the Responsibility to Protect,2021

2. Deplatforming did not decrease Parler users’ activity on fringe social media;Horta Ribeiro;PNAS Nexus,2023

3. Evaluating the effectiveness of deplatforming as a moderation strategy on twitter;Jhaver;Proc ACM Hum-Comput Interact,2021

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