ElectionRumors2022: A Dataset of Election Rumors on Twitter During the 2022 US Midterms

• URL: http://arxiv.org/abs/2407.16051v1
• Date: Mon, 22 Jul 2024 21:02:26 GMT
• Title: ElectionRumors2022: A Dataset of Election Rumors on Twitter During the 2022 US Midterms
• Authors: Joseph S Schafer, Kayla Duskin, Stephen Prochaska, Morgan Wack, Anna Beers, Lia Bozarth, Taylor Agajanian, Mike Caulfield, Emma S Spiro, Kate Starbird,
• Abstract summary: We present and analyze a dataset of 1.81 million Twitter posts corresponding to 135 distinct rumors which spread online during the midterm election season. We also conduct a mixed-methods analysis of three distinct rumors about the election in Arizona, a particularly prominent focus of 2022 election rumoring.
• Score: 2.284479493171312
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Understanding the spread of online rumors is a pressing societal challenge and an active area of research across domains. In the context of the 2022 U.S. midterm elections, one influential social media platform for sharing information -- including rumors that may be false, misleading, or unsubstantiated -- was Twitter (now renamed X). To increase understanding of the dynamics of online rumors about elections, we present and analyze a dataset of 1.81 million Twitter posts corresponding to 135 distinct rumors which spread online during the midterm election season (September 5 to December 1, 2022). We describe how this data was collected, compiled, and supplemented, and provide a series of exploratory analyses along with comparisons to a previously-published dataset on 2020 election rumors. We also conduct a mixed-methods analysis of three distinct rumors about the election in Arizona, a particularly prominent focus of 2022 election rumoring. Finally, we provide a set of potential future directions for how this dataset could be used to facilitate future research into online rumors, misinformation, and disinformation.

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