Twitter says its algorithm amplifies right-wing content and they don’t know why


Twitter claims its algorithm amplifies right-wing content more than left-wing content, but social media company doesn’t know what’s causing this.

Revealed by Twitter in a blog post, the findings are drawn from an internal study into the type of political content that is gaining traction on Twitter.. For some reason, machine learning leans to the right in terms of what Twitter is showing as recommendations.

Twitter’s right-wing bias

Twitter has analyzed millions of Tweets published between April 1 and August 15, 2020. These Tweets were published by news organizations as well as by elected officials from countries such as France, Canada, Germany, Spain, Japan, the United Kingdom and the United States..

In all countries except Germany, Twitter has found that its algorithms prioritize accounts on the right over the “political left.” As a result of this bias, media that publish right-wing content have also received more traction.

Even then, Twitter doesn’t know why its artificial intelligence is amplifying right-wing content on the platform in so many countries. In the study, Twitter acknowledges the difficulty of answering this question, saying it is a “product of interactions between people and the platform.”

Twitter CEO Jack Dorsey
Twitter CEO Jack Dorsey / Reuters

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While there may not yet be a concrete answer to this phenomenon, it could have something to do with Germany’s deal with Big Tech (Facebook, Twitter and Google) that companies are required to suppress hate speech within 24 hours. In fact, many Twitter users claim to have moved to another location in Germany to prevent Nazi images from appearing on their screens.

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Either way, such acknowledgments based on internal research conducted by the social media giants themselves could help solve most issues.

Is accelerating prejudice and hate speech like Germany the right way to crack down on prejudice on machine learning platforms like Twitter? Share what you think should be done in the comments below.

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Examining the Algorithmic Amplification of Political Content on Twitter. (2021). Twitter.

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