The four research papers, published in Science and Nature, also reveal the extent of political echo chambers on Facebook.
WASHINGTON — The powerful algorithms used by Facebook and Instagram to deliver content to users have increasingly been blamed for amplifying misinformation and political polarization. But a series of groundbreaking studies published Thursday suggest addressing these challenges is not as simple as tweaking the platforms’ software.
Proposals to regulate these systems are among the most discussed ideas for addressing social media’s role in spreading misinformation and encouraging polarization. But when the researchers changed the algorithms for some users during the 2020 election, they saw little difference. To conduct the analysis, researchers obtained unprecedented access to Facebook and Instagram data from the 2020 election through a collaboration with Meta META , the platforms’ owners. The researchers say Meta exerted no control over their findings.
Eliminating the algorithm altogether drastically reduced the time users spent on either Facebook or Instagram while increasing their time on TikTok, YouTube or other sites, showing just how important these systems are to Meta in the increasingly crowded social media landscape. One organization that’s been critical of Meta’s role in spreading misinformation about elections and voting called the research “limited’ and noted that it was only a snapshot taken in the midst of an election, and didn’t take into account the effects of years of social media misinformation.
Conservative Facebook users are more likely to consume content that has been labeled misinformation by fact-checkers. They also have more sources to choose from. The analysis found that among the websites included in political Facebook posts, far more cater to conservatives than liberals.
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