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Algorithmic amplification of politics on Twitter

Based on a massive-scale experiment involving millions of Twitter users, this study carries out the most comprehensive audit of an algorithmic recommender system and its effects on political content. Results unveil that the political right enjoys higher amplification compared to the political left.
Algorithmic amplification of politics on Twitter
Amplification of news articles by Twitter’s personalization algorithms broken down by AllSides (A) and Ad Fontes (B) media bias ratings of their source.

First, and to date, only research coming from Twitter about the platform's recommender systems' amplification of political content.

Read the full paper:

Proceeding of the National Academy of Sciences

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