mlsanityData to 7 Oct 2026

FactCheck Editor: Multilingual Text Editor with End-to-End fact-checking

arXiv 2404.19482 ↗First posted 30 Apr 2024cs.CLcited by 12

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Abstract (arXiv)

We introduce 'FactCheck Editor', an advanced text editor designed to automate fact-checking and correct factual inaccuracies. Given the widespread issue of misinformation, often a result of unintentional mistakes by content creators, our tool aims to address this challenge. It supports over 90 languages and utilizes transformer models to assist humans in the labor-intensive process of fact verification. This demonstration showcases a complete workflow that detects text claims in need of verification, generates relevant search engine queries, and retrieves appropriate documents from the web. It employs Natural Language Inference (NLI) to predict the veracity of claims and uses LLMs to summarize the evidence and suggest textual revisions to correct any errors in the text. Additionally, the effectiveness of models used in claim detection and veracity assessment is evaluated across multiple languages.

Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 12 of its 18 references that are in the map. First posted on arXiv 30 Apr 2024.

Builds on

12 of 18 references.

References · 12

  1. 2017A Broad-Coverage Challenge Corpus for Sentence Understanding through Inferencecited by 2,665
  2. 2015A large annotated corpus for learning natural language inferencecited by 1,837
  3. 2018FEVER: a large-scale dataset for Fact Extraction and VERificationcited by 1,362
  4. 2021A Survey on Automated Fact-Checkingcited by 376
  5. 2023FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarioscited by 247
  6. 2023AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Webcited by 144
  7. 2021X-FACT: A New Benchmark Dataset for Multilingual Fact Checkingcited by 90
  8. 2020Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Societycited by 72
  9. 2022Generating Literal and Implied Subquestions to Fact-check Complex Claimscited by 66
  10. 2022MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Datasetcited by 59
  11. 2024Claim Detection for Automated Fact-checking: A Survey on Monolingual, Multilingual and Cross-Lingual Researchcited by 35
  12. 2020BRENDA: Browser Extension for Fake News Detectioncited by 20

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 3; 2025: 5; 2026: 4.

12 papers.