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Coordinating Narratives and the Capitol Riots on Parler

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arxiv 2109.00945 v1 pith:2JSIVZXT submitted 2021-09-02 cs.SI cs.CL

classification cs.SIcs.CL
keywords graphcoordinatedparlercapitoldisinformationnarrativesriotssimilarity
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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.

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