mlsanityData to 7 Oct 2026

SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours

arXiv 1704.05972 ↗First posted 20 Apr 2017cs.CL cs.AIcited by 77

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Abstract (arXiv)

Media is full of false claims. Even Oxford Dictionaries named "post-truth" as the word of 2016. This makes it more important than ever to build systems that can identify the veracity of a story, and the kind of discourse there is around it. RumourEval is a SemEval shared task that aims to identify and handle rumours and reactions to them, in text. We present an annotation scheme, a large dataset covering multiple topics - each having their own families of claims and replies - and use these to pose two concrete challenges as well as the results achieved by participants on these challenges.

Key facts. Cited by 77 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Apr 2017.

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Citing papers per year: 2021: 26; 2022: 14; 2023: 9; 2024: 14; 2025: 8; 2026: 6.

77 papers.

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  1. 2021A Survey on Automated Fact-Checkingcited by 376
  2. 2021A Survey on Stance Detection for Mis- and Disinformation Identificationcited by 75
  3. 2021ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoningcited by 58
  4. 2021Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contextscited by 56
  5. 2021Automated Fact-Checking: A Surveycited by 55
  6. 2021SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Imagescited by 49
  7. 2021Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Trainingcited by 28
  8. 2021Overview of the CLEF--2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake Newscited by 23
  9. 2024QuanTemp: A real-world open-domain benchmark for fact-checking numerical claimscited by 22
  10. 2023Emotion Detection for Misinformation: A Reviewcited by 20
  11. 2023The Intended Uses of Automated Fact-Checking Artefacts: Why, How and Whocited by 19
  12. 2023Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Sciencecited by 18
38 more
  1. 2022Improved Target-specific Stance Detection on Social Media Platforms by Delving into Conversation Threadscited by 16
  2. 2021Investigating label suggestions for opinion mining in German Covid-19 social mediacited by 15
  3. 2022Human-in-the-loop Evaluation for Early Misinformation Detection: A Case Study of COVID-19 Treatmentscited by 14
  4. 2023VaxxHesitancy: A Dataset for Studying Hesitancy towards COVID-19 Vaccination on Twittercited by 14
  5. 2025The CLEF-2025 CheckThat! Lab: Subjectivity, Fact-Checking, Claim Normalization, and Retrievalcited by 14
  6. 2022Claim-Dissector: An Interpretable Fact-Checking System with Joint Re-ranking and Veracity Predictioncited by 12
  7. 2021Dataset of Fake News Detection and Fact Verification: A Surveycited by 11
  8. 2021Semi-automatic Generation of Multilingual Datasets for Stance Detection in Twittercited by 10
  9. 2021On Unifying Misinformation Detectioncited by 10
  10. 2022A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learningcited by 10
  11. 2021VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Textcited by 9
  12. 2021STEM: Unsupervised STructural EMbedding for Stance Detectioncited by 9
  13. 2022CrowdChecked: Detecting Previously Fact-Checked Claims in Social Mediacited by 9
  14. 2021AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checkingcited by 8
  15. 2021What goes on inside rumour and non-rumour tweets and their reactions: A Psycholinguistic Analysescited by 8
  16. 2022Stanceosaurus: Classifying Stance Towards Multilingual Misinformationcited by 8
  17. 2024A Survey of Stance Detection on Social Media: New Directions and Perspectivescited by 8
  18. 2025Truth over Tricks: Measuring and Mitigating Shortcut Learning in Misinformation Detectioncited by 8
  19. 2021Automatic Detection of COVID-19 Vaccine Misinformation with Graph Link Predictioncited by 7
  20. 2023Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Datasetcited by 7
  21. 2024Towards a Framework for Evaluating Explanations in Automated Fact Verificationcited by 7
  22. 2024ORCHID: A Chinese Debate Corpus for Target-Independent Stance Detection and Argumentative Dialogue Summarizationcited by 6
  23. 2025LLM-Enhanced Multiple Instance Learning for Joint Rumor and Stance Detection with Social Context Informationcited by 6
  24. 2021Constraint 2021: Machine Learning Models for COVID-19 Fake News Detection Shared Taskcited by 5
  25. 2021A Second Pandemic? Analysis of Fake News About COVID-19 Vaccines in Qatarcited by 5
  26. 2022ExaASC: A General Target-Based Stance Detection Corpus in Arabic Languagecited by 5
  27. 2024Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Modelscited by 5
  28. 2024Stanceformer: Target-Aware Transformer for Stance Detectioncited by 5
  29. 2024On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMscited by 5
  30. 2025EcoLANG: Efficient and Effective Agent Communication Language Induction for Social Simulationcited by 5
  31. 2021Social Analysis of Young Basque Speaking Communities in Twittercited by 4
  32. 2022Overview of the Shared Task on Fake News Detection in Urdu at FIRE 2021cited by 4
  33. 2023Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detectioncited by 4
  34. 2024Instruction Tuning Vs. In-Context Learning: Revisiting Large Language Models in Few-Shot Computational Social Sciencecited by 4
  35. 2025SciClaimHunt: A Large Dataset for Evidence-based Scientific Claim Verificationcited by 4
  36. 2021Dynamically Addressing Unseen Rumor via Continual Learningcited by 3
  37. 2021WhatTheWikiFact: Fact-Checking Claims Against Wikipediacited by 3
  38. 2022Identifying the Adoption or Rejection of Misinformation Targeting COVID-19 Vaccines in Twitter Discoursecited by 3

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