Overview

Automated fact-checking studies how to identify verifiable claims, find relevant evidence, and judge whether claims are supported, refuted, or unresolved. Systems combine check-worthiness classifiers, web or knowledge-graph retrieval, claim decomposition, and evidence-grounded language models; newer work also handles images, video, speech, and multilingual claims. Benchmarks such as FEVER, SciFact, and AVeriTeC test retrieval and verdict quality, but results often shift across domains, languages, and evidence conditions. A central challenge is ensuring that verdicts truly follow the cited evidence while controlling retrieval errors, uncertainty, cost, and benchmark contamination.

Latest papers

CardsList

139 papers17 papers in the last four weeks, up 6% on the four weeks before. 0.1% of all new papers.

  1. Multilingual Reference Need Assessment System for Wikipedia

    Mar 17, 2026Aitolkyn Baigutanova, Francisco Navas, Pablo Aragon +5Multilingual Text ClassificationText Classification

  2. MALicious INTent Dataset and Inoculating LLMs for Enhanced Disinformation Detection

    Mar 15, 2026Arkadiusz Modzelewski, Witold Sosnowski, Eleni Papadopulos +4Fake News DetectionIntent Classification

  3. Plato's Cave: A Human-Centered Research Verification System

    Mar 6, 2026Matheus Kunzler Maldaner, Raul Valle, Junsung Kim +9Scientific Claim VerificationAutomated Fact-Checking

  4. DeepFact: Co-Evolving Benchmarks and Agents for Deep Research Factuality

    Mar 6, 2026Yukun Huang, Leonardo F. R. Ribeiro, Momchil Hardalov +3Automated Fact-CheckingAI Agent Benchmarks

  5. Leveraging LLM Parametric Knowledge for Fact Checking without Retrieval

    Mar 5, 2026Artem Vazhentsev, Maria Marina, Daniil Moskovskiy +8Automated Fact-CheckingFactual Knowledge in Language Models

  6. A Browser-based Open Source Assistant for Multimodal Content Verification

    Mar 3, 2026Rosanna Milner, Michael Foster, Twin Karmakharm +5Automated Fact-CheckingFake News Detection

  7. Multi-Sourced, Multi-Agent Evidence Retrieval for Fact-Checking

    Feb 27, 2026Shuzhi Gong, Richard O. Sinnott, Jianzhong Qi +3Automated Fact-CheckingEvidence Retrieval

  8. FactGuard: Agentic Video Misinformation Detection via Reinforcement Learning

    Feb 26, 2026Zehao Li, Hongwei Yu, Hao Jiang +7Automated Fact-CheckingTool Use in VLMs

  9. MultiCW: A Large-Scale Balanced Benchmark Dataset for Training Robust Check-Worthiness Detection Models

    Feb 18, 2026Martin Hyben, Sebastian Kula, Jan Cegin +3Automated Fact-CheckingLanguage Model Robustness

  10. D-SECURE: Dual-Source Evidence Combination for Unified Reasoning in Misinformation Detection

    Feb 16, 2026Samudi Amarasinghe, Gagandeep Singh, Priyanka SinghFake News DetectionAutomated Fact-Checking

  11. GitSearch: Enhancing Community Notes Generation with Gap-Informed Targeted Search

    Feb 9, 2026Sahajpreet Singh, Kokil Jaidka, Min-Yen Kan +1Automated Fact-CheckingEvidence Retrieval

  12. Althea: The Fact-Checking--Metalearning Tradeoff in AI-Assisted Verification

    Dec 29, 2025Svetlana Churina, Kokil Jaidka, Anab Maulana Barik +5Human-in-the-Loop EvaluationAutomated Fact-Checking

  13. M4FC: a Multimodal, Multilingual, Multicultural, Multitask Real-World Fact-Checking Dataset

    Oct 27, 2025Jiahui Geng, Jonathan Tonglet, Iryna GurevychAutomated Fact-CheckingMultimodal Understanding

  14. TrendFact: A Benchmark Towards Hotspot Perception in Automatic Fact-Checking

    Oct 19, 2024Xiaocheng Zhang, Xi Wang, Yifei Lu +5Automated Fact-Checking

  15. Generative Large Language Models in Automated Fact-Checking: A Survey

    Jul 2, 2024Ivan Vykopal, Matúš Pikuliak, Simon Ostermann +1Automated Fact-Checking