Papers › Danish National Election 2022 Twitter Data on Likes, Retweets, and Botscores for the...
Danish National Election 2022 Twitter Data on Likes, Retweets, and Botscores for the Purpose of Exploring Coordinated Inauthenthic Behavior
Laura Jahn, Rasmus K. Rendsvig
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This note describes code and experiments related to a Twitter dataset on the Danish National Election 2022, available at Harvard Dataverse (doi.org/10.7910/DVN/RWPZUN). We cluster Twitter users into bins of users that showed exactly the same liking/retweeting behavior over a month-long period during which the Danish National Election took place. To investigate whether any of these bins exhibited coordinated inauthentic behavior, we were interested in whether bin size correlated with user account deletions/suspensions and/or high bot scores from Botometer / Botometer Lite. We did not find significant correlations (also neither between Botometer and Botometer Lite scores). This note primarily contains the README.md from the GitHub repository LJ-9/Danish-Election-2022-Twitter-Likes-Retweets-Botscores-Inauthentic-Coordinated-Behavior of the same name, with a few additional comments and references. We upload the note for visibility, hoping that other researchers may find the data of use.
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