mlsanityData to 7 Oct 2026

A Survey on Computational Propaganda Detection

arXiv 2007.08024 ↗First posted 15 Jul 2020cs.CL cs.IR cs.LGcited by 69

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Abstract (arXiv)

Propaganda campaigns aim at influencing people's mindset with the purpose of advancing a specific agenda. They exploit the anonymity of the Internet, the micro-profiling ability of social networks, and the ease of automatically creating and managing coordinated networks of accounts, to reach millions of social network users with persuasive messages, specifically targeted to topics each individual user is sensitive to, and ultimately influencing the outcome on a targeted issue. In this survey, we review the state of the art on computational propaganda detection from the perspective of Natural Language Processing and Network Analysis, arguing about the need for combined efforts between these communities. We further discuss current challenges and future research directions.

Key facts. Cited by 69 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Jul 2020.

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Citing papers per year: 2021: 16; 2022: 20; 2023: 14; 2024: 8; 2025: 5; 2026: 6.

69 papers.

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  1. 2021A Survey on Automated Fact-Checkingcited by 376
  2. 2023Can Large Language Models Transform Computational Social Science?cited by 245
  3. 2023Can LLM-Generated Misinformation Be Detected?cited by 173
  4. 2021Automated Fact-Checking for Assisting Human Fact-Checkerscited by 144
  5. 2022Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Surveycited by 80
  6. 2022Detecting and Understanding Harmful Memes: A Surveycited by 58
  7. 2023Scientific Fact-Checking: A Survey of Resources and Approachescited by 53
  8. 2021SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Imagescited by 49
  9. 2021A Survey on Multimodal Disinformation Detectioncited by 47
  10. 2022Logic-Based Explainability in Machine Learningcited by 47
  11. 2022Missing Counter-Evidence Renders NLP Fact-Checking Unrealistic for Misinformationcited by 45
  12. 2022On Tackling Explanation Redundancy in Decision Treescited by 44
38 more
  1. 2021Detecting Propaganda Techniques in Memescited by 43
  2. 2022Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data Generationcited by 41
  3. 2022ProtoTEx: Explaining Model Decisions with Prototype Tensorscited by 21
  4. 2024Can GPT-4 Identify Propaganda? Annotation and Detection of Propaganda Spans in News Articlescited by 21
  5. 2021A Survey on Predicting the Factuality and the Bias of News Mediacited by 20
  6. 2023Large Language Models for Propaganda Span Annotationcited by 19
  7. 2022Overview of the WANLP 2022 Shared Task on Propaganda Detection in Arabiccited by 18
  8. 2021Interpretable Propaganda Detection in News Articlescited by 16
  9. 2023Adapting Fake News Detection to the Era of Large Language Modelscited by 14
  10. 2022Robust and Explainable Identification of Logical Fallacies in Natural Language Argumentscited by 12
  11. 2025Must Read: A Comprehensive Survey of Computational Persuasioncited by 12
  12. 2021The Spread of Propaganda by Coordinated Communities on Social Mediacited by 10
  13. 2022Challenges and Opportunities in Information Manipulation Detection: An Examination of Wartime Russian Mediacited by 10
  14. 2022CrowdChecked: Detecting Previously Fact-Checked Claims in Social Mediacited by 9
  15. 2024Think Fast, Think Slow, Think Critical: Designing an Automated Propaganda Detection Toolcited by 9
  16. 2024PropaInsight: Toward Deeper Understanding of Propaganda in Terms of Techniques, Appeals, and Intentcited by 9
  17. 2023Detecting Check-Worthy Claims in Political Debates, Speeches, and Interviews Using Audio Datacited by 7
  18. 2023Manipulation Risks in Explainable AI: The Implications of the Disagreement Problemcited by 7
  19. 2024The FIGNEWS Shared Task on News Media Narrativescited by 7
  20. 2022Using Persuasive Writing Strategies to Explain and Detect Health Misinformationcited by 6
  21. 2023Predicting Sentence-Level Factuality of News and Bias of Media Outletscited by 6
  22. 2021Hidden Biases in Unreliable News Detection Datasetscited by 5
  23. 2021Improved Acyclicity Reasoning for Bayesian Network Structure Learning with Constraint Programmingcited by 5
  24. 2021A Second Pandemic? Analysis of Fake News About COVID-19 Vaccines in Qatarcited by 5
  25. 2023Efficiently Explaining CSPs with Unsatisfiable Subset Optimization (extended algorithms and examples)cited by 5
  26. 2023QCRI at SemEval-2023 Task 3: News Genre, Framing and Persuasion Techniques Detection using Multilingual Modelscited by 5
  27. 2023Analysing State-Backed Propaganda Websites: a New Dataset and Linguistic Studycited by 5
  28. 2025How does Misinformation Affect Large Language Model Behaviors and Preferences?cited by 5
  29. 2023KInITVeraAI at SemEval-2023 Task 3: Simple yet Powerful Multilingual Fine-Tuning for Persuasion Techniques Detectioncited by 4
  30. 2023SEPSIS: I Can Catch Your Lies -- A New Paradigm for Deception Detectioncited by 4
  31. 2024Exposing propaganda: an analysis of stylistic cues comparing human annotations and machine classificationcited by 4
  32. 2024Can Factual Statements be Deceptive? The DeFaBel Corpus of Belief-based Deceptioncited by 4
  33. 2021WhatTheWikiFact: Fact-Checking Claims Against Wikipediacited by 3
  34. 2021Adversarial machine learning for protecting against online manipulationcited by 3
  35. 2022IMCI: Integrate Multi-view Contextual Information for Fact Extraction and Verificationcited by 3
  36. 2024A Cross-Domain Study of the Use of Persuasion Techniques in Online Disinformationcited by 3
  37. 2025ViClaim: A Multilingual Multilabel Dataset for Automatic Claim Detection in Videoscited by 3
  38. 2025Prompt-Induced Linguistic Fingerprints for LLM-Generated Fake News Detectioncited by 3

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