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Algorithmic recommendations

How to break information cocoons

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Recommender systems are a predominant feature of online platforms and one of the most widespread applications of artificial intelligence. A new model captures information dynamics driven by algorithmic recommendations and offers ways to ensure that users are exposed to diverse content and information.

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Fig. 1: Emerging information cocoons and ways to break them.

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Authors and Affiliations

  1. Informatics Institute, University of Amsterdam, Amsterdam, The Netherlands

    Fernando P. Santos

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  1. Fernando P. Santos
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Correspondence to Fernando P. Santos.

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Santos, F.P. How to break information cocoons. Nat Mach Intell 5, 1338–1339 (2023). https://doi.org/10.1038/s42256-023-00758-7

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