mlsanityData to 7 Oct 2026

Coordinating Narratives and the Capitol Riots on Parler

arXiv 2109.00945 ↗First posted 2 Sep 2021cs.SI cs.CLcited by 10

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Abstract (arXiv)

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.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 11 of its 31 references that are in the map. First posted on arXiv 2 Sep 2021.

Builds on

11 of 31 references.

References · 11

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2017Billion-scale similarity search with GPUscited by 2,477
  3. 2018From Louvain to Leiden: guaranteeing well-connected communitiescited by 379
  4. 2018Disinformation Warfare: Understanding State-Sponsored Trolls on Twitter and Their Influence on the Webcited by 18
  5. 2020Coordinated Behavior on Social Media in 2019 UK General Electioncited by 15
  6. 2020On the Detection of Disinformation Campaign Activity with Network Analysiscited by 14
  7. 2020Unveiling Coordinated Groups Behind White Helmets Disinformationcited by 10
  8. 2021An Early Look at the Parler Online Social Networkcited by 8
  9. 2021Capitol (Pat)riots: A comparative study of Twitter and Parlercited by 6
  10. 2020A Complex Networks Approach to Find Latent Clusters of Terrorist Groupscited by 3
  11. 2021State-level Racially Motivated Hate Crimes Contrast Public Opinion on the #StopAsianHate and #StopAAPIHate Movementcited by 2

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Cited by year

Citing papers per year: 2021: 2; 2022: 4; 2023: 2; 2024: 1; 2025: 1.

10 papers.