Published in the Journal of Quantitative Description, the paper accompanying the dataset is titled Repeat Spreaders and Election Delegitimization: A Comprehensive Dataset of Misinformation Tweets from the 2020 U.S. Election. The dataset, which the researchers named ElectionMisinfo2020, “is made up of over 49 million tweets connected to 456 distinct misinformation stories spread about the 2020 U.S. election between September 1, 2020 and December 15, 2020,” and it “focuses on false, misleading, exaggerated, or unsubstantiated claims or narratives related to voting, vote counting, and other election procedures.”
“President Trump and other pro-Trump elites in media and politics set an expectation of voter fraud and then eagerly amplified any and every claim about election issues, often with voter fraud framing,” said one of the lead researchers, Dr. Kate Starbird, an associate professor at the University of Washington and co-founder of the Center for an Informed Public. “But everyday people produced many of those claims.” The new report sheds light on how these claims proliferated from the margins to the nation’s Capitol.
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