Facebook’s Algorithm Is ‘Influential’ but Doesn’t Necessarily Change Beliefs, Researchers Say

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The algorithms powering Facebook and Instagram, which drive what billions of people see on the social networks, have been in the cross hairs of lawmakers, activists and regulators for years. Many have called for the algorithms to be abolished to stem the spread of viral misinformation and to prevent the inflammation of political divisions. But four new studies published on Thursday — including one that examined the data of 208 million Americans who used Facebook in the 2020 presidential election — complicate that narrative. In the papers, researchers from the University of Texas, New York University, Princeton and other institutions found that removing some key functions of the social platforms’ algorithms had “no measurable effects” on people’s political beliefs. In one experiment on Facebook’s algorithm, people’s knowledge of political news declined when their ability to reshare posts was removed, the researchers said. At the same time, the consumption of political news on Facebook and Instagram was highly segregated by ideology, according to another study. More than 97 percent of the links to news stories rated as false by fact checkers on the apps during the 2020 election drew more conservative readers than liberal readers, the research found.