ElectionRumors2022: A Dataset of Election Rumors on Twitter During the 2022 US Midterms
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arXiv
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| Main Authors: | , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866917730848866304 |
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| author | Schafer, Joseph S Duskin, Kayla Prochaska, Stephen Wack, Morgan Beers, Anna Bozarth, Lia Agajanian, Taylor Caulfield, Mike Spiro, Emma S Starbird, Kate |
| author_facet | Schafer, Joseph S Duskin, Kayla Prochaska, Stephen Wack, Morgan Beers, Anna Bozarth, Lia Agajanian, Taylor Caulfield, Mike Spiro, Emma S Starbird, Kate |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_16051 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | ElectionRumors2022: A Dataset of Election Rumors on Twitter During the 2022 US Midterms Schafer, Joseph S Duskin, Kayla Prochaska, Stephen Wack, Morgan Beers, Anna Bozarth, Lia Agajanian, Taylor Caulfield, Mike Spiro, Emma S Starbird, Kate Social and Information Networks Computers and Society 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. |
| title | ElectionRumors2022: A Dataset of Election Rumors on Twitter During the 2022 US Midterms |
| topic | Social and Information Networks Computers and Society |
| url | https://arxiv.org/abs/2407.16051 |