mlsanityData to 13 Oct 2026

The CLEF-2026 CheckThat! Lab: Advancing Multilingual Fact-Checking

arXiv 2602.09516 ↗First posted 10 Feb 2026cs.CLcited by 3

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Abstract (arXiv)

The CheckThat! lab aims to advance the development of innovative technologies combating disinformation and manipulation efforts in online communication across a multitude of languages and platforms. While in early editions the focus has been on core tasks of the verification pipeline (check-worthiness, evidence retrieval, and verification), in the past three editions, the lab added additional tasks linked to the verification process. In this year's edition, the verification pipeline is at the center again with the following tasks: Task 1 on source retrieval for scientific web claims (a follow-up of the 2025 edition), Task 2 on fact-checking numerical and temporal claims, which adds a reasoning component to the 2025 edition, and Task 3, which expands the verification pipeline with generation of full-fact-checking articles. These tasks represent challenging classification and retrieval problems as well as generation challenges at the document and span level, including multilingual settings.

Key facts. Cited by 3 papers in the map (data through 13 Oct 2026). Builds on 28 of its 47 references that are in the map. First posted on arXiv 10 Feb 2026.

Builds on

28 of 47 references.

References · 28

  1. 2023Judging LLM-as-a-Judge with MT-Bench and Chatbot Arenacited by 8,492
  2. 2018FEVER: a large-scale dataset for Fact Extraction and VERificationcited by 1,368
  3. 2024Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preferencecited by 1,163
  4. 2024Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Modelscited by 437
  5. 2021A Survey on Automated Fact-Checkingcited by 378
  6. 2019MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claimscited by 169
  7. 2021Automated Fact-Checking for Assisting Human Fact-Checkerscited by 144
  8. 2023AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Webcited by 144
  9. 2020SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articlescited by 80
  10. 2017SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumourscited by 77
  11. 2018RumourEval 2019: Determining Rumour Veracity and Support for Rumourscited by 75
  12. 2023The Next Chapter: A Study of Large Language Models in Storytellingcited by 58
16 more
  1. 2018A Retrospective Analysis of the Fake News Challenge Stance Detection Taskcited by 49
  2. 2021SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Imagescited by 49
  3. 2022Missing Counter-Evidence Renders NLP Fact-Checking Unrealistic for Misinformationcited by 45
  4. 2024Generating Long-form Story Using Dynamic Hierarchical Outlining with Memory-Enhancementcited by 30
  5. 2024JustiLM: Few-shot Justification Generation for Explainable Fact-Checking of Real-world Claimscited by 29
  6. 2024The Automated Verification of Textual Claims (AVeriTeC) Shared Taskcited by 29
  7. 2024QuanTemp: A real-world open-domain benchmark for fact-checking numerical claimscited by 23
  8. 2023ArAIEval Shared Task: Persuasion Techniques and Disinformation Detection in Arabic Textcited by 19
  9. 2019SemEval-2019 Task 8: Fact Checking in Community Question Answering Forumscited by 18
  10. 2024FactCheck Editor: Multilingual Text Editor with End-to-End fact-checkingcited by 12
  11. 2024ArAIEval Shared Task: Propagandistic Techniques Detection in Unimodal and Multimodal Arabic Contentcited by 11
  12. 2025SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrievalcited by 11
  13. 2023Findings of Factify 2: Multimodal Fake News Detectioncited by 7
  14. 2025Can LLMs Automate Fact-Checking Article Writing?cited by 7
  15. 2023Overview of the CLAIMSCAN-2023: Uncovering Truth in Social Media through Claim Detection and Identification of Claim Spanscited by 4
  16. 2025Think Right, Not More: Test-Time Scaling for Numerical Claim Verificationcited by 2

Built on by

Cited by year (2026 to 13 Oct)

Citing papers per year: 2026: 3.

3 papers.

  1. 2026SourceMinds at CheckThat! 2026: NLI-Grounded Citation Auditing in a Multi-Agent Pipeline for Full Fact-Checking Article Generationcited by 0
  2. 2026SciClaimSeekers at CheckThat! 2026: Retrieving Scientific Sources for Social Media Claims with LLM Rerankingcited by 0
  3. 2026UTS at CheckThat! 2026: Cite-Frame Engineering for Generated Fact-Checking Articlescited by 0