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ABSTRACT / Facebook and Twitter recently announced community-based review platforms to address misinformation. We provide an overview of the potential affordances of such community-based approaches to content moderation based on past research and preliminary analysis of Twitter’s Birdwatch data. While our analysis generally supports a community-based approach to content moderation, it also warns against potential pitfalls, particularly when the implementation of the new infrastructure focuses on crowd-based “validation” rather than “collaboration.” We call for multidisciplinary research utilizing methods from complex systems studies, behavioural sociology, and computational social science to advance the research on crowd-based content moderation.
BIO / Taha Yasseri is an Associate Professor at the School of Sociology and a Geary Fellow at the Geary Institute for Public Policy at University College Dublin, Ireland. Formerly, he was a Senior Research Fellow in Computational Social Science at the University of Oxford and a Turing Fellow at the Alan Turing Institute for Data Science and Artificial Intelligence. Taha Yasseri has a PhD in Complex Systems Physics from the University of Göttingen, Germany. He has interests in the analysis of large-scale transactional data and conducting behavioural experiments to understand human dynamics, machines’ social behaviour, government-society interactions, online political behaviour, mass collaboration and collective intelligence, information and opinion dynamics, hate speech and content moderation, and online dating.