Automated Fact-Checking

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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. Same Verdict, Different Readers: Personalizing Fact-Checking Explanations from Relative Preferences

    Oct 27, 2026Haokun Wen, Xuemeng Song, Mong-Li Lee +1Automated Fact-CheckingPersonalized Language Model Alignment

    National University of Singapore Singapore · Southern University of Science and Technology Shenzhen, China

  2. Stop or Clarify? Experience-Conditioned Active Fact Verification

    Oct 26, 2026Yuhang Dong, Jinghong Li, Xinyue Wang +1Automated Fact-CheckingActive Information Gathering

    Nanjing University of Information Science and Technology, Nanjing, China

  3. Rethinking the Evaluation of LLM Fact-Checkers

    Oct 21, 2026Ayana Niwa, Miyu Yamada, Kouta Nakayama +3LLM EvaluationAutomated Fact-Checking

    MBZUAI · Science Tokyo · NII-LLMC

  4. Standing on the Shoulders of Giants: Enhancing LLM Agents for Automated Fact-Checking with Human Expert Skills

    Oct 19, 2026Xinwen Chen, Haorui He, Yupeng LiAutomated Fact-CheckingLLM Agent Skill Learning

    Department of Interactive Media, Hong Kong Baptist University · School of Computing and Data Science, The University of Hong Kong · AI and Social Good Lab, AI Media Centre, Hong Kong Baptist University

  5. PremiseCheck: Efficient Fact-Checking of Human and AI Peer Reviews

    Oct 15, 2026Dingjie Song, Zhiling Yan, Ziqian Zhang +2Automated Fact-CheckingFactual Consistency Evaluation

    Lehigh University · University of British Columbia · Vector Institute

  6. Privacy-Preserving Text Inference for Health-Misinformation Classification and Semantic Retrieval

    Oct 14, 2026Jasleen Kaur, Chloé Cachet, Koray Karabina +2Health Misinformation DetectionPrivacy-Preserving ML

    National Research Council Canada, Ottawa, Canada · Florida Atlantic University, Boca Raton, USA

  7. MERIT: Multimodal Evidence Reasoning over Image Tables

    Oct 13, 2026Haoyang Jiang, Zhuotong Fan, Mingyang Yi +3Table QAAutomated Fact-Checking

    Renmin University of China · Independent Researcher · Beike Inc.

  8. EviScene: Beyond "Is It AI?" for Agentic Image Factuality Assessment

    Oct 10, 2026ZiAn Wang, Ruiqi Liu, Zhengbo Zhang +10Automated Fact-CheckingTool-Using Vision-Language Agents

    Jilin University · Institute of Automation, Chinese Academy of Sciences · Southwest University +6

  9. MiniVer-V: Identifying Minimal Sufficient Evidence for Short Video Verification

    Oct 8, 2026Leran Chen, Lingnan Kong, Zile CaiClaim VerificationAutomated Fact-Checking

    The University of Sydney

  10. WorldFact-Bench: Beyond Image-Internal Plausibility to Image-World Consistency

    Oct 8, 2026Zhuohong Chen, Zhengxian Wu, Yunyao Yu +7Factual Consistency EvaluationImage Forgery Detection

    Ant Group · Tsinghua University

  11. Jarvis: A Proactive Speech Agent for Multi-Party Conversations

    Oct 5, 2026Seunghyun Oh, Hirotaka Hiraki, Shuyue Stella Li +2Conversational AgentsProactive Agents

    Paul G. Allen School of Computer Science and Engineering, University of Washington, WA, USA · Graduate School of Interdisciplinary Information Studies, The University of Tokyo, Bunkyo, Tokyo, Japan

  12. SAFE-MR: Evidence Sufficiency Learning for Selective Multimodal Rumor Detection

    Oct 5, 2026Shiwen NiMultimodal RobustnessSelective Prediction

    Artificial Intelligence Research Institute, Shenzhen University of Advanced Technology

  13. More Claims, Less Evidence: Bounded Verification of AI-Generated Digital Knowledge Artifacts

    Oct 4, 2026Feliks Bańka, Jarosław A. ChudziakClaim VerificationAutomated Fact-Checking

    Institute of Computer Science, Warsaw University of Technology, Warsaw, Poland

  14. No Hindsight for LLM Fact-Checkers: Measuring Leakage Channels in Misinformation Detection

    Oct 4, 2026Kuan-Hua Wu Lu, Yohanes Andre SetiawanAutomated Fact-CheckingData Contamination in Language Models

    Georgia Institute of Technology Atlanta, Georgia, USA

  15. Does Neural Complexity Improve Health Misinformation Detection? A Leakage-Controlled Cross-Corpus Benchmark

    Oct 3, 2026Mkululi SIKOSANAHealth Misinformation DetectionFake News Detection

    Department of Computing and Mathematics, Manchester Metropolitan University Manchester M15 6BH, United Kingdom

  16. Community-Driven API and AI Writer Design for Openly Scaling Community Notes

    Sep 30, 2026Brad Miller, Jay Baxter, Jiansong Chao +3Human-in-the-Loop AIAutomated Fact-Checking

    Community Notes, SpaceXAI

  17. Multi-Channel Mitigation of Source-Trust Shortcuts in Fact-Checking RL Agents

    Sep 29, 2026Jianchang Su, Yiwei Yang, Wei ZhangAutomated Fact-CheckingLLM Reliability

    University of Connecticut · University of California, Santa Cruz

  18. VEX-Bench: Benchmarking Verification Complexity of LLM-Generated Misinformation

    Sep 28, 2026Hanxun Huang, Yutao Wu, Qizhou Wang +9LLM EvaluationFake News Detection

    The University of Melbourne · Deakin University · Singapore Management University +3

  19. Fair Fact-Checking: Closing the Cross-Lingual Gap in LLM Factual Judgement with RoSh

    Sep 28, 2026Muhammad Ahmad, Fatemeh Seyedin, Adrian Weller +2Multilingual Language Model EvaluationAutomated Fact-Checking

    Department of Computer Science, Shifa Tameer-e-Millat University, Islamabad, Pakistan · BRAINS, Brandenburg Research Center for Applied Intelligent Systems, Potsdam, Germany · Max Planck Institute for Security and Privacy, Bochum, Germany +3

  20. OpenFC: Learning Verification Policies towards Open-Search Fact Checking

    Sep 27, 2026Xinming Wang, Kaixiang Qiu, Yansong Lin +5RL for Language Model ReasoningAutomated Fact-Checking

    Institute of Automation, Chinese Academy of Sciences · University of Electronic Science and Technology of China · Beijing Institute of Technology +1

  21. MIC: Explaining Image-Claim Inconsistencies in AI-Generated Multimodal Misinformation

    Sep 27, 2026Ruihong Zeng, Jonathan Tonglet, Preslav Nakov +1Factual Consistency EvaluationAutomated Fact-Checking

    Mohamed bin Zayed University of Artificial Intelligence, UAE · UKP Lab · Ubiquitous Knowledge Processing Lab (UKP Lab), Department of Computer Science, TU Darmstadt and National Research Center for Applied Cybersecurity ATHENE, Germany +2

  22. Effects of Transcript Compression on LLM-based Medical Misinformation Detection in Japanese YouTube Videos

    Sep 25, 2026Yuya Wake, Sho Tsugawa, Toshiyuki AmagasaHealth Misinformation DetectionFake News Detection

    University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan

  23. To Trust or Not to Trust: Retrieval-Augmented Fact Checking in Speech

    Sep 24, 2026Debajyoti Mazumder, Mamta, Abhirama Subramanyam PenamakuriAudio-Language Model EvaluationRetrieval-Augmented Generation

    IISER Bhopal · King’s College London · MBZUAI

  24. What Changes When Fact-Verification Scores Improve? Evidence and Answer Accounting Across Trained Verifiers and LLMs

    Sep 22, 2026Han Chen, Yingrui LiLLM EvaluationEvidence Selection

  25. ARAFA: An LLM-Generated Arabic Fact-Checking Dataset

    Sep 22, 2026Christophe Khalil, Shady Elbassuoni, Rida AssafArabic NLPAutomated Fact-Checking

    Computer Science, American University of Beirut, Beirut, Lebanon

  26. SoK: Formal Methods for Fact-Checking and Information Integrity

    Sep 19, 2026Nikolaos Kekatos, Theodoros Nestoridis, Charalampos Bratsas +5Automated Fact-CheckingReasoning Verification

    Clone Systems, Cyprus · International Hellenic University, Greece · School of Journalism and Mass Communications, Aristotle University of Thessaloniki, Greece +2

  27. R2VC: Modular Fact-Checking with Retrieval, Verification, and Confidence Calibration

    Sep 14, 2026Dhruv Dixit, Paritosh PandeyRetrieval-Augmented GenerationAutomated Fact-Checking

    Department of Electrical and Computer Engineering Stevens Institute of Technology Hoboken, New Jersey, United States · Department of Computer Science University of North Carolina Chapel Hill, North Carolina, United States

  28. DARE: Dialectical Agentic Reasoning for Structured Knowledge Fact Checking

    Sep 12, 2026Yifei Li, Xiaohan Zheng, Wentao Qian +1Automated Fact-CheckingLLM Reasoning with Graphs

    University of Science and Technology of China

  29. MedSNIP: Building and Benchmarking Snippet-Level Granularity for Medical Fact Verification

    Sep 11, 2026Hasan Iqbal, Sarfraz Ahmad, Hyunjae Kim +5LLM Answer VerificationAutomated Fact-Checking

    Mohamed bin Zayed University of Artificial Intelligence · Yale University · Korea University +2

  30. Detecting and Explaining Fake News Short Videos with Multimodal Content and Real-World Evidence

    Sep 11, 2026Yifeng Luo, Yupeng Li, Ming Tang +2Fake News DetectionAutomated Fact-Checking

    Department of Interactive Media; Hong Kong Baptist University · AI and Social Good Lab, AI Media Centre; Hong Kong Baptist University · Department of Computer Science and Engineering, Southern University of Science and Technology +1