Does Information Affect Our Beliefs?

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‘Filter bubbles’ and democracy Sometimes the dangerous effects of social media are clear. In 2018, when I went to Sri Lanka to report on anti-Muslim pogroms, I found that Facebook’s newsfeed had been a vector for the rumors that formed a pretext for vigilante violence, and that WhatsApp groups had become platforms for organizing and carrying out the actual attacks. In Brazil last January, supporters of former President Jair Bolsonaro used social media to spread false claims that fraud had cost him the election, and then turned to WhatsApp and Telegram groups to plan a mob attack on federal buildings in the capital, Brasília. It was a similar playbook to that used in the United States on Jan. 6, 2021, when supporters of Donald Trump stormed the Capitol. But aside from discrete events like these, there have also been concerns that social media, and particularly the algorithms used to suggest content to users, might be contributing to the more general spread of misinformation and polarization. The theory, roughly, goes something like this: unlike in the past, when most people got their information from the same few mainstream sources, social media now makes it possible for people to filter news around their own interests and biases. As a result, they mostly share and see stories from people on their own side of the political spectrum. That “filter bubble” of information supposedly exposes users to increasingly skewed versions of reality, undermining consensus and reducing their understanding of people on the opposing side. The theory gained mainstream attention after Trump was elected in 2016. “The ‘Filter Bubble’ Explains Why Trump Won and You Didn’t See It Coming,” announced a New York Magazine article a few days after the election. “Your Echo Chamber is Destroying Democracy,” Wired Magazine claimed a few weeks later. Changing information doesn’t change minds But without rigorous testing, it’s been hard to figure out whether the filter bubble effect was real. The four new studies are the first in a series of 16 peer-reviewed papers that arose from a collaboration between Meta, the company that owns Facebook and Instagram, and a group of researchers from universities including Princeton, Dartmouth, the University of Pennsylvania, Stanford and others.