ElectionRumors2022: A Dataset of Election Rumors on Twitter During the 2022 U.S. Midterms

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DOI:

https://doi.org/10.51685/jqd.2025.002

Keywords:

Rumors, Twitter, U.S. elections

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 five 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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Published

2025-01-06

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Articles

How to Cite

Schafer, J., Duskin, K., Prochaska, S., Wack, M., Beers, A., Bozarth, L., Agajanian, T., Caulfield, M., Spiro, E., & Starbird, K. (2025). ElectionRumors2022: A Dataset of Election Rumors on Twitter During the 2022 U.S. Midterms. Journal of Quantitative Description: Digital Media, 5. https://doi.org/10.51685/jqd.2025.002

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