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Recommender systems and the amplification of extremist content
2021
Internet Policy Review
Policymakers have recently expressed concerns over the role of recommendation algorithms and their role in forming "filter bubbles". This is a particularly prescient concern in the context of extremist content online; these algorithms may promote extremist content at the expense of more moderate voices. In this article, we make two contributions to this debate. Firstly, we provide a novel empirical analysis of three platforms' recommendation systems when interacting with far-right content. We
doi:10.14763/2021.2.1565
fatcat:ljx4odbad5ddxeuzyeu5lgr4ju