Twitter data on 2020 U.S. Presidential Election Debates
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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Title |
Twitter data on 2020 U.S. Presidential Election Debates
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Identifier |
https://doi.org/10.7910/DVN/ANBPTC
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Creator |
Pratelli, Manuel
Saracco, Fabio Petrocchi, Marinella De Nicola, Rocco |
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Publisher |
Harvard Dataverse
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Description |
The dataset contains Twitter traffic related to the 2020 US pre-election debate. The data was collected considering two types of states, namely swing and safe. The term 'swing' refers to those states in which one cannot be certain of a landslide victory for either Republicans or Democrats, as there is no clear historical orientation of the electorate. In contrast to swing, a state is defined as 'safe' if its citizens have traditionally always elected representatives of the same political party. In particular, the tweets present are from four swing states (i.e., Arizona, Florida, Michigan e Pennsylvania) and four safe states (i.e., New Jersey, Indiana, Washington and Louisiana). The dataset was used in the study "Swinging in the States: Does disinformation on Twitter mirror the US presidential election system?". (under submission).
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Subject |
Computer and Information Science
Social Sciences |
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Contributor |
Pratelli, Manuel
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