New research on Facebook shows the algorithm isn't entirely to blame for political polarization

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New research on Facebook shows the algorithm isn't entirely to blame for political polarization
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Researchers working with Meta published four new studies that detail a nuanced view of polarization on Facebook and Instagram.

The authors, who received direct access to certain Facebook and Instagram data for their research, paint a picture of a vast social network comprised of users who often seek news and information that conforms to their existing beliefs. Thus, people who wish to live in so-called echo chambers can easily do so, but that's as much about the stories and posts they're trying to find as it is the company's recommendation algorithms.

In each of the new studies, the authors said that Meta was involved with the research but the company didn't pay them for their work and they had freedom to publish their findings without interference.analyzed the notion of echo chambers on social media, and was based on a subset of over 20,000 adult Facebook users in the U.S. who opted into the research over a three-month period leading up to and after the 2020 presidential election.

"These results are not consistent with the worst fears about echo chambers," they wrote. "However, the data clearly indicate that Facebook users are much more likely to see content from like-minded sources than they are to see content from cross-cutting sources." One of the Science papers found that when it comes to news, "both algorithmic and social amplification play a part" in driving a wedge between conservatives and liberals, leading to "increasing ideological segregation."

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