Researchers Share Findings That Twitter’s Algorithm Amplifies Right-Wing Content

A team of machine learning researchers including Ferenc Huszár, Sofia Ira Ktena, and Conor O’Brien publish findings that Twitter’s algorithmically ranked home timeline amps up the visibility of right-wing content when compared to the reverse chronological timeline. Analysis of 2020 tweets from America, Canada, France, Germany, Japan, Spain, and the UK revealed that in six out of seven of those countries elected officials on the political right received more amplification than those on the left, and that right-leaning news organizations were also amplified. “We hope that by sharing this analysis, we can help spark a productive conversation with the broader research community,” write Twitter’s Rumman Chowdhury and Luca Belli.


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