6 citations · 7 across the 4 of their papers we have counts for
4 papers
Friction Interventions to Curb the Spread of Misinformation on Social Media
Laura Jahn, Rasmus K. Rendsvig, Alessandro Flammini +2
Social media has enabled the spread of information at unprecedented speeds and scales, and with it the proliferation of high-engagement, low-quality content. *Friction* -- behavior…
Danish National Election 2022 Twitter Data on Likes, Retweets, and Botscores for the Purpose of Exploring Coordinated Inauthenthic Behavior
Laura Jahn, Rasmus K. Rendsvig
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…
Towards Detecting Inauthentic Coordination in Twitter Likes Data
Laura Jahn, Rasmus K. Rendsvig
Social media feeds typically favor posts according to user engagement. The most ubiquitous type of engagement (and the type we study) is *likes*. Users customarily take engagement…
Detecting Coordinated Inauthentic Behavior in Likes on Social Media: Proof of Concept
Laura Jahn, Rasmus K. Rendsvig, Jacob Stærk-Østergaard
Coordinated inauthentic behavior is used as a tool on social media to shape public opinion by elevating or suppressing topics using systematic engagements -- e.g. through *likes* o…