“Election Falsehoods Surged on Podcasts Before Capitol Riots, Researchers Find”

NYT:

Weeks before the 2020 presidential election, the conservative broadcaster Glenn Beck outlined his prediction for how Election Day would unfold: President Donald J. Trump would be winning that night, but his lead would erode as dubious mail-in ballots arrived, giving Joseph R. Biden Jr. an unlikely edge.

“No one will believe the outcome because they’ve changed the way we’re electing a president this time,” he said.

None of the predictions of widespread voter fraud came true. But podcasters frequently advanced the false belief that the election was illegitimate, first as a trickle before the election and then as a tsunami in the weeks leading up to the violent attack at the Capitol on Jan. 6, 2021, according to new research.

Researchers at the Brookings Institution reviewed transcripts of nearly 1,500 episodes from 20 of the most popular political podcasts. Among episodes released between the election and the Jan. 6 riot, about half contained election misinformation, according to the analysis.

In some weeks, 60 percent of episodes mentioned the election fraud conspiracy theories tracked by Brookings. Those included false claims that software glitches interfered with the count, that fake ballots were used, and that voting machines run by Dominion Voting Systems were rigged to help Democrats. Those kinds of theories gained currency in Republican circles and would later be leveraged to justify additional election audits across the country.

he new research underscores the extent to which podcasts have spread misinformation using platforms operated by Apple, Google, Spotify and others, often with little content moderation. While social media companies have been widely criticized for their role in spreading misinformation about the election and Covid-19 vaccines, they have cracked down on both in the last year. Podcasts and the companies distributing them have been spared similar scrutiny, researchers say, in large part because podcasts are harder to analyze and review.

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