  Coordinated disinformation campaigns are used to influence social media
users, potentially leading to offline violence. In this study, we introduce a
general methodology to uncover coordinated messaging through analysis of user
parleys on Parler. The proposed method constructs a user-to-user coordination
network graph induced by a user-to-text graph and a text-to-text similarity
graph. The text-to-text graph is constructed based on the textual similarity of
Parler posts. We study three influential groups of users in the 6 January 2020
Capitol riots and detect networks of coordinated user clusters that are all
posting similar textual content in support of different disinformation
narratives related to the U.S. 2020 elections.
