mlsanityData to 7 Oct 2026

The Spread of Propaganda by Coordinated Communities on Social Media

arXiv 2109.13046 ↗First posted 27 Sep 2021cs.SI cs.AI cs.CLcited by 10

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Abstract (arXiv)

Large-scale manipulations on social media have two important characteristics: (i) use of propaganda to influence others, and (ii) adoption of coordinated behavior to spread it and to amplify its impact. Despite the connection between them, these two characteristics have so far been considered in isolation. Here we aim to bridge this gap. In particular, we analyze the spread of propaganda and its interplay with coordinated behavior on a large Twitter dataset about the 2019 UK general election. We first propose and evaluate several metrics for measuring the use of propaganda on Twitter. Then, we investigate the use of propaganda by different coordinated communities that participated in the online debate. The combination of the use of propaganda and coordinated behavior allows us to uncover the authenticity and harmfulness of the different communities. Finally, we compare our measures of propaganda and coordination with automation (i.e., bot) scores and Twitter suspensions, revealing interesting trends. From a theoretical viewpoint, we introduce a methodology for analyzing several important dimensions of online behavior that are seldom conjointly considered. From a practical viewpoint, we provide new insights into authentic and inauthentic online activities during the 2019 UK general election.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 27 of its 55 references that are in the map. First posted on arXiv 27 Sep 2021.

Builds on

27 of 55 references.

References · 27

  1. 2019Fine-Grained Analysis of Propaganda in News Articlescited by 130
  2. 2020SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articlescited by 79
  3. 2020Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Societycited by 72
  4. 2020A Survey on Computational Propaganda Detectioncited by 69
  5. 2020Uncovering Coordinated Networks on Social Media: Methods and Case Studiescited by 49
  6. 2021SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Imagescited by 49
  7. 2020A Decade of Social Bot Detectioncited by 48
  8. 2020Identifying Coordinated Accounts on Social Media through Hidden Influence and Group Behaviourscited by 46
  9. 2018On the Origins of Memes by Means of Fringe Web Communitiescited by 45
  10. 2019Unsupervised User Stance Detection on Twittercited by 45
  11. 2021Detecting Propaganda Techniques in Memescited by 43
  12. 2020Detection of Novel Social Bots by Ensembles of Specialized Classifierscited by 32
15 more
  1. 2017Argotario: Computational Argumentation Meets Serious Gamescited by 29
  2. 2020Prta: A System to Support the Analysis of Propaganda Techniques in the Newscited by 23
  3. 2018Sampling the News Producers: A Large News and Feature Data Set for the Study of the Complex Media Landscapecited by 20
  4. 2019Tanbih: Get To Know What You Are Readingcited by 16
  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. 2020Who's in the Gang? Revealing Coordinating Communities in Social Mediacited by 12
  8. 2017The Web Centipede: Understanding How Web Communities Influence Each Other Through the Lens of Mainstream and Alternative News Sourcescited by 11
  9. 2020Unveiling Coordinated Groups Behind White Helmets Disinformationcited by 10
  10. 2021A General Method to Find Highly Coordinating Communities in Social Media through Inferred Interaction Linkscited by 10
  11. 2021Coordinating Narratives and the Capitol Riots on Parlercited by 10
  12. 2014Searching for superspreaders of information in real-world social mediacited by 6
  13. 2016Reducing Controversy by Connecting Opposing Viewscited by 5
  14. 2019The Impact of Projection and Backboning on Network Topologiescited by 3
  15. 2021A Synchronized Action Framework for Responsible Detection of Coordination on Social Mediacited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 2; 2023: 2; 2024: 1; 2025: 3; 2026: 2.

10 papers.