The authors study the relationship between the spread of content and the bias and quality of such content using a bounded-confidence opinion model that incorporates media and nonmedia accounts with dynamic content updating. Using this model, they show how to maximize media impact in a network by tuning the number of media accounts and the number of followers per account, and they examine how this impact depends on network features.
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A 2020 study studied this question.
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