mlsanityData to 7 Oct 2026

SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles

arXiv 2009.02696 ↗First posted 6 Sep 2020cs.CL cs.CYcited by 79

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Abstract (arXiv)

We present the results and the main findings of SemEval-2020 Task 11 on Detection of Propaganda Techniques in News Articles. The task featured two subtasks. Subtask SI is about Span Identification: given a plain-text document, spot the specific text fragments containing propaganda. Subtask TC is about Technique Classification: given a specific text fragment, in the context of a full document, determine the propaganda technique it uses, choosing from an inventory of 14 possible propaganda techniques. The task attracted a large number of participants: 250 teams signed up to participate and 44 made a submission on the test set. In this paper, we present the task, analyze the results, and discuss the system submissions and the methods they used. For both subtasks, the best systems used pre-trained Transformers and ensembles.

Key facts. Cited by 79 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Sep 2020.

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Citing papers per year: 2021: 9; 2022: 9; 2023: 18; 2024: 17; 2025: 12; 2026: 14.

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38 more
  1. 2023ArAIEval Shared Task: Persuasion Techniques and Disinformation Detection in Arabic Textcited by 19
  2. 2022Overview of the WANLP 2022 Shared Task on Propaganda Detection in Arabiccited by 18
  3. 2021Interpretable Propaganda Detection in News Articlescited by 16
  4. 2023Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim?cited by 14
  5. 2025The CLEF-2025 CheckThat! Lab: Subjectivity, Fact-Checking, Claim Normalization, and Retrievalcited by 14
  6. 2021Transformers: "The End of History" for NLP?cited by 12
  7. 2024Reason from Fallacy: Enhancing Large Language Models' Logical Reasoning through Logical Fallacy Understandingcited by 12
  8. 2025Must Read: A Comprehensive Survey of Computational Persuasioncited by 12
  9. 2021The Spread of Propaganda by Coordinated Communities on Social Mediacited by 10
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  11. 2024Attacking Misinformation Detection Using Adversarial Examples Generated by Language Modelscited by 10
  12. 2023Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classificationcited by 9
  13. 2024Think Fast, Think Slow, Think Critical: Designing an Automated Propaganda Detection Toolcited by 9
  14. 2024PropaInsight: Toward Deeper Understanding of Propaganda in Terms of Techniques, Appeals, and Intentcited by 9
  15. 2023Verifying the Robustness of Automatic Credibility Assessmentcited by 8
  16. 2024Propaganda to Hate: A Multimodal Analysis of Arabic Memes with Multi-Agent LLMscited by 8
  17. 2022PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Taskscited by 7
  18. 2022Autonomation, Not Automation: Activities and Needs of European Fact-checkers as a Basis for Designing Human-Centered AI Systemscited by 7
  19. 2023Large Language Models for Propaganda Detectioncited by 7
  20. 2024The FIGNEWS Shared Task on News Media Narrativescited by 7
  21. 2025LLMs as Span Annotators: A Comparative Study of LLMs and Humanscited by 7
  22. 2021NLRG at SemEval-2021 Task 5: Toxic Spans Detection Leveraging BERT-based Token Classification and Span Prediction Techniquescited by 6
  23. 2025Fine-grained Fallacy Detection with Human Label Variationcited by 6
  24. 2021Volta at SemEval-2021 Task 6: Towards Detecting Persuasive Texts and Images using Textual and Multimodal Ensemblecited by 5
  25. 2023SheffieldVeraAI at SemEval-2023 Task 3: Mono and multilingual approaches for news genre, topic and persuasion technique classificationcited by 5
  26. 2023Discourse Structures Guided Fine-grained Propaganda Identificationcited by 5
  27. 2024A Multi-Label Dataset of French Fake News: Human and Machine Insightscited by 5
  28. 2025Are Large Language Models Good at Detecting Propaganda?cited by 5
  29. 2023KInITVeraAI at SemEval-2023 Task 3: Simple yet Powerful Multilingual Fine-Tuning for Persuasion Techniques Detectioncited by 4
  30. 2023Overview of the CLAIMSCAN-2023: Uncovering Truth in Social Media through Claim Detection and Identification of Claim Spanscited by 4
  31. 2024Exposing propaganda: an analysis of stylistic cues comparing human annotations and machine classificationcited by 4
  32. 2024Sina at FigNews 2024: Multilingual Datasets Annotated with Bias and Propagandacited by 4
  33. 2024COBRA: A Continual Learning Approach to Vision-Brain Understandingcited by 4
  34. 2024What distinguishes conspiracy from critical narratives? A computational analysis of oppositional discoursecited by 3
  35. 2024Yesterday's News: Benchmarking Multi-Dimensional Out-of-Distribution Generalization of Misinformation Detection Modelscited by 3
  36. 2024A Survey on Automatic Credibility Assessment Using Textual Credibility Signals in the Era of Large Language Modelscited by 3
  37. 2025Hybrid Annotation for Propaganda Detection: Integrating LLM Pre-Annotations with Human Intelligencecited by 3
  38. 2026The CLEF-2026 CheckThat! Lab: Advancing Multilingual Fact-Checkingcited by 3

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