New research shows how Meta's algorithms shaped users' 2020 election feeds
for a return to chronological feeds. Unsurprisingly, the researchers concluded that Facebook and Instagram’s algorithmic feeds “strongly influenced users’ experiences.”
“The Chronological Feed dramatically reduced the amount of time users spent on the platform, reduced how much users engaged with content when they were on the platform, and altered the mix of content they were served,” the authors write.
At the same time, the researchers say that a chronological feed “did not cause detectable changes in downstream political attitudes, knowledge, or offline behavior.”, on the effects of reshared content in the run-up to the 2020 election found that removing reshared content “substantially decreases the amount of political news, including content from untrustworthy sources” but didn’t “significantly affect political polarization or any measure of individual-level political attitudes.
The researchers said the results were a “manifestation of how Pages and Groups provide a very powerful curation and dissemination machine that is used especially effectively by sources with predominantly conservative audiences.” While some of the findings look good for Meta, which has long argued that political content is only a small minority of what most users see, one of the most notable takeaways from the research is that there aren’t obvious solutions for addressing the polarization that does on social media.
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