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This note describes code and experiments related to a Twitter dataset on theDanish National Election 2022, available at Harvard Dataverse(doi.org/10.7910/DVN/RWPZUN). We cluster Twitter users into bins of users thatshowed exactly the same liking/retweeting behavior over a month-long periodduring which the Danish National Election took place. To investigate whetherany of these bins exhibited coordinated inauthentic behavior, we wereinterested in whether bin size correlated with user accountdeletions/suspensions and/or high bot scores from Botometer / Botometer Lite.We did not find significant correlations (also neither between Botometer andBotometer Lite scores). This note primarily contains the README.md from theGitHub repositoryLJ-9/Danish-Election-2022-Twitter-Likes-Retweets-Botscores-Inauthentic-Coordinated-Behaviorof the same name, with a few additional comments and references. We upload thenote for visibility, hoping that other researchers may find the data of use.

Danish National Election 2022 Twitter Data on Likes, Retweets, and Botscores for the Purpose of Exploring Coordinated Inauthenthic Behavior