  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.
