mlsanityData to 7 Oct 2026

RumourEval 2019: Determining Rumour Veracity and Support for Rumours

arXiv 1809.06683 ↗First posted 18 Sep 2018cs.CLcited by 74

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Abstract (arXiv)

This is the proposal for RumourEval-2019, which will run in early 2019 as part of that year's SemEval event. Since the first RumourEval shared task in 2017, interest in automated claim validation has greatly increased, as the dangers of "fake news" have become a mainstream concern. Yet automated support for rumour checking remains in its infancy. For this reason, it is important that a shared task in this area continues to provide a focus for effort, which is likely to increase. We therefore propose a continuation in which the veracity of further rumours is determined, and as previously, supportive of this goal, tweets discussing them are classified according to the stance they take regarding the rumour. Scope is extended compared with the first RumourEval, in that the dataset is substantially expanded to include Reddit as well as Twitter data, and additional languages are also included.

Key facts. Cited by 74 papers in the map (data through 7 Oct 2026). First posted on arXiv 18 Sep 2018.

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Citing papers per year: 2021: 15; 2022: 12; 2023: 11; 2024: 16; 2025: 13; 2026: 7.

74 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. 2021Automated Fact-Checking: A Surveycited by 55
  4. 2021SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Imagescited by 49
  5. 2023The Perils & Promises of Fact-checking with Large Language Modelscited by 31
  6. 2021Cross-Domain Label-Adaptive Stance Detectioncited by 30
  7. 2021Overview of the CLEF--2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake Newscited by 23
  8. 2023Emotion Detection for Misinformation: A Reviewcited by 20
  9. 2022Improved Target-specific Stance Detection on Social Media Platforms by Delving into Conversation Threadscited by 16
  10. 2023MGTAB: A Multi-Relational Graph-Based Twitter Account Detection Benchmarkcited by 16
  11. 2022Human-in-the-loop Evaluation for Early Misinformation Detection: A Case Study of COVID-19 Treatmentscited by 14
  12. 2023VaxxHesitancy: A Dataset for Studying Hesitancy towards COVID-19 Vaccination on Twittercited by 14
38 more
  1. 2024Prompt Design Matters for Computational Social Science Tasks but in Unpredictable Wayscited by 14
  2. 2025The CLEF-2025 CheckThat! Lab: Subjectivity, Fact-Checking, Claim Normalization, and Retrievalcited by 14
  3. 2022Claim-Dissector: An Interpretable Fact-Checking System with Joint Re-ranking and Veracity Predictioncited by 12
  4. 2021Dataset of Fake News Detection and Fact Verification: A Surveycited by 11
  5. 2022Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classificationcited by 11
  6. 2022A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learningcited by 10
  7. 2021VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Textcited by 9
  8. 2021AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checkingcited by 8
  9. 2022Stanceosaurus: Classifying Stance Towards Multilingual Misinformationcited by 8
  10. 2023Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Datasetcited by 7
  11. 2024Towards a Framework for Evaluating Explanations in Automated Fact Verificationcited by 7
  12. 2022Contextual information integration for stance detection via cross-attentioncited by 6
  13. 2024ORCHID: A Chinese Debate Corpus for Target-Independent Stance Detection and Argumentative Dialogue Summarizationcited by 6
  14. 2025LLM-Enhanced Multiple Instance Learning for Joint Rumor and Stance Detection with Social Context Informationcited by 6
  15. 2021Constraint 2021: Machine Learning Models for COVID-19 Fake News Detection Shared Taskcited by 5
  16. 2021A Second Pandemic? Analysis of Fake News About COVID-19 Vaccines in Qatarcited by 5
  17. 2022ExaASC: A General Target-Based Stance Detection Corpus in Arabic Languagecited by 5
  18. 2024Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Modelscited by 5
  19. 2024TempoFormer: A Transformer for Temporally-aware Representations in Change Detectioncited by 5
  20. 2024Stanceformer: Target-Aware Transformer for Stance Detectioncited by 5
  21. 2025UKElectionNarratives: A Dataset of Misleading Narratives Surrounding Recent UK General Electionscited by 5
  22. 2025Large Language Models Meet Stance Detection: A Survey of Tasks, Methods, Applications, Challenges and Future Directionscited by 5
  23. 2025Framing Political Bias in Multilingual LLMs Across Pakistani Languagescited by 5
  24. 2021SRLF: A Stance-aware Reinforcement Learning Framework for Content-based Rumor Detection on Social Mediacited by 4
  25. 2022The COVMis-Stance dataset: Stance Detection on Twitter for COVID-19 Misinformationcited by 4
  26. 2022Overview of the Shared Task on Fake News Detection in Urdu at FIRE 2021cited by 4
  27. 2025SciClaimHunt: A Large Dataset for Evidence-based Scientific Claim Verificationcited by 4
  28. 2021WhatTheWikiFact: Fact-Checking Claims Against Wikipediacited by 3
  29. 2024Putting Context in Context: the Impact of Discussion Structure on Text Classificationcited by 3
  30. 2024Cross-Target Stance Detection: A Survey of Techniques, Datasets, and Challengescited by 3
  31. 2026The CLEF-2026 CheckThat! Lab: Advancing Multilingual Fact-Checkingcited by 3
  32. 2023Stand for Something or Fall for Everything: Predict Misinformation Spread with Stance-Aware Graph Neural Networkscited by 2
  33. 2023Sig-Networks Toolkit: Signature Networks for Longitudinal Language Modellingcited by 2
  34. 2024Scope of Large Language Models for Mining Emerging Opinions in Online Health Discoursecited by 2
  35. 2024Crowd Intelligence for Early Misinformation Prediction on Social Mediacited by 2
  36. 2024Overview of Factify5WQA: Fact Verification through 5W Question-Answeringcited by 2
  37. 2025Rumor Detection by Multi-task Suffix Learning based on Time-series Dual Sentimentscited by 2
  38. 2025Large Language Models Require Curated Context for Reliable Political Fact-Checking -- Even with Reasoning and Web Searchcited by 2

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