Automated Fact-Checking

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14 papers in the last four weeks, up 367% on the four weeks before. 0.1% of all new papers.

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RW-Post: Auditable Evidence-Grounded Multimodal Fact-Checking in the Wild
May 11, 2026Danni Xu, Shaojing Fan, Harry Cheng +1VLM Evaluation Multimodal Grounding
School of Computing (SoC), National University of Singapore (NUS), Singapore · Department of Electrical and Computer Engineering (ECE), National University of Singapore (NUS), Singapore
COVID-19 Infodemic. Understanding content features in detecting fake news using a machine learning approach
May 7, 2026Vimala Balakrishnan, Lee Zing Hii, Eric LaporteFake News Detection Text Classification
Faculty of Computer Science & Information Technology, Universiti Malaya, 50603, Kuala Lumpur, Malaysia · LIGM, Univ Gustave Eiffel, CNRS, F-77454 Marne-la-Vallée, France
From Articles to Premises: Building PrimeFacts, an Extraction Methodology and Resource for Fact-Checking Evidence
May 7, 2026Premtim Sahitaj, Jawan Kolanowski, Ariana Sahitaj +7Automated Fact-Checking LLM Information Extraction
Technische Universität Berlin, Quality and Usability Lab, Berlin, Germany · Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI), Berlin, Germany · Harz University of Applied Sciences, Wernigerode, Germany +1
Atomic Fact-Checking Increases Clinician Trust in Large Language Model Recommendations for Oncology Decision Support: A Randomized Controlled Trial
May 5, 2026Lisa C. Adams, Linus Marx, Erik Thiele Orberg +8Healthcare Clinical Decision Support
Department of Diagnostic and Interventional Radiology, TUM University Hospital Rechts der Isar, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany · Department of Radiation Oncology, TUM University Hospital Rechts der Isar, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany · Department of Internal Medicine III: Hematology and Clinical Oncology, University Hospital Regensburg, University of Regensburg, Regensburg, Germany +4
An Information-theoretic Propagation Denoising and Fusion Framework for Fake News Detection
May 4, 2026Mengyang Chen, Lingwei Wei, Wei Zhou +1Synthetic Data Augmentation Fake News Detection
Institute of Information Engineering, Chinese Academy of Sciences · School of Cyber Security, University of Chinese Academy of Sciences
Are LLMs More Skeptical of Entertainment News?
May 3, 2026Huiqian LaiFake News Detection Text Classification
School of Information Studies, Syracuse University
Grounding Multi-Hop Reasoning in Structural Causal Models via Group Relative Policy Optimization
May 2, 2026Yunhan Bu, Quan Zhang, Huaping Zhang +9Structural Causal Models RL for Language Model Reasoning
Beijing Institute of Technology, Beijing, China · School of Computer Science and Technology, Xinjiang University, Urumqi, China · Military Science Information Research Center, Academy of Military Science, Beijing, China
Propagation Structure-Semantic Transfer Learning for Robust Fake News Detection
Apr 27, 2026Mengyang Chen, Lingwei Wei, Han Cao +3Fake News Detection Text Classification
Institute of Information Engineering, Chinese Academy of Sciences, Haidian District Beijing 100085, China · School of Cyber Security, University of Chinese Academy of Sciences, Huairou District Beijing 101408, China · State Key Laboratory of Communication Content Cognition, People’s Daily Online, Chaoyang District Beijing 100020, China
When Cow Urine Cures Constipation on YouTube: Limits of LLMs in Detecting Culture-specific Health Misinformation
Apr 23, 2026Anamta Khan, Ratna Kandala, Deepti +2LLM Prompting Automated Fact-Checking
University of Michigan · University of Kansas · IIT Jodhpur
Misinformation Span Detection in Videos via Audio Transcripts
Apr 23, 2026Breno Matos, Rennan C. Lima, Savvas Zannettou +2Automated Fact-Checking
Max Planck Institute for Informatics · Federal University of Minas Gerais · Kunumi Institute +1
Mask-to-Correct $^+$ : Leveraging Retriever Diversity for Masking-guided Faithful Fact Correction
Apr 21, 2026Payel Santra, Lavisha Sharma, Madhusudan Ghosh +1Retrieval-Augmented Generation Automated Fact-Checking
Indian Association for the Cultivation of Science, Jadavpur, Kolkata-700032, India
Debating the Unspoken: Role-Anchored Multi-Agent Reasoning for Half-Truth Detection
Apr 21, 2026Yixuan Tang, Yirui Zhang, Hang Feng +1Multi-Agent Debate Automated Fact-Checking
School of Computing, National University of Singapore
When Misinformation Speaks and Converses: Rethinking Fact-Checking in Audio Platforms
Apr 18, 2026Chaewan Chun, Delvin Ce Zhang, Dongwon LeeAutomated Fact-Checking
The Pennsylvania State University, USA · University of Sheffield, UK
Fact4ac at the Financial Misinformation Detection Challenge Task: Reference-Free Financial Misinformation Detection via Fine-Tuning and Few-Shot Prompting of Large Language Models
Apr 16, 2026Cuong Hoang, Le-Minh NguyenLLM Fine-Tuning Automated Fact-Checking
Japan Advanced Institute of Science and Technology
Co-FactChecker: A Framework for Human-AI Collaborative Claim Verification Using Large Reasoning Models
Apr 15, 2026Dhruv Sahnan, Subhabrata Dutta, Tanmoy Chakraborty +2Automated Fact-Checking Human-AI Collaboration
MBZUAI, UAE · TU Darmstadt, Germany · IIT Delhi, India
What Does a Sharing Question Add? Auditing LLM Survey Scores for Misinformation
Apr 8, 2026Zonghuan Xu, Xiang Zheng, Yutao Wu +1LLM Evaluation LLM Auditing
Shanghai Key Laboratory of Multimodal Embodied AI, Shanghai, China · City University of Hong Kong, Hong Kong SAR, China · Deakin University, Australia
DIA-HARM: Dialectal Disparities in Harmful Content Detection Across 50 English Dialects
Apr 7, 2026Jason Lucas, Matt Murtagh, Ali Al-Lawati +3Fake News Detection Automated Fact-Checking
The Pennsylvania State University, USA · Trinity College Dublin, Ireland · MIT Lincoln Laboratory, USA
RADAR: Retrieval-Augmented Detector with Adversarial Refinement for Adaptive LLM-Generated Fake News Detection
Jan 7, 2026Song-Duo Ma, Yi-Hung Liu, Hsin-Yu Lin +4Adversarial Training Fake News Detection
National Taiwan University, Taipei, Taiwan
Althea: The Fact-Checking--Metalearning Tradeoff in AI-Assisted Verification
Dec 29, 2025Svetlana Churina, Kokil Jaidka, Anab Maulana Barik +5Human-in-the-Loop Evaluation Automated Fact-Checking
Centre for Trusted Internet & Community (CTIC), National University of Singapore (NUS), Singapore · Department of Communications and New Media, Centre for Trusted Internet & Community (CTIC), National University of Singapore (NUS), Singapore · School of Computing, Centre for Trusted Internet & Community (CTIC), National University of Singapore (NUS), Singapore
Hybrid Fact-Checking that Integrates Knowledge Graphs, Large Language Models, and Search-Based Retrieval Agents Improves Interpretable Claim Verification
Nov 5, 2025Shaghayegh Kolli, Richard Rosenbaum, Timo Cavelius +3LLM Grounding Automated Fact-Checking
Technical University Munich
M4FC: a Multimodal, Multilingual, Multicultural, Multitask Real-World Fact-Checking Dataset
Oct 27, 2025Jiahui Geng, Jonathan Tonglet, Iryna GurevychAutomated Fact-Checking Multimodal Understanding
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), UAE · Ubiquitous Knowledge Processing Lab (UKP Lab), Department of Computer Science, TU Darmstadt and National Research Center for Applied Cybersecurity ATHENE, Germany · Department of Electrical Engineering, KU Leuven, Belgium +2
TrendFact: A Benchmark Towards Hotspot Perception in Automatic Fact-Checking
Oct 19, 2024Xiaocheng Zhang, Xi Wang, Yifei Lu +5Automated Fact-Checking
1Harbin Institute of Technology · 2National University of Defense Technology · 3Northeastern University +3
Generative Large Language Models in Automated Fact-Checking: A Survey
Jul 2, 2024Ivan Vykopal, Matúš Pikuliak, Simon Ostermann +1Automated Fact-Checking
Faculty of Information Technology, Brno University of Technology, Brno, Czech Republic · Kempelen Institute of Intelligent Technologies, Bratislava, Slovakia · German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Germany +1
UrduFactCheck: An Agentic Fact-Checking Framework for Urdu with Evidence Boosting and Benchmarking
Date pendingSarfraz Ahmad, Hasan Iqbal, Momina Ahsan +6LLM Evaluation Factual Consistency Evaluation
MBZUAI

May 11, 2026, cs.MMJ/K move · Enter open · S save

RW-Post: Auditable Evidence-Grounded Multimodal Fact-Checking in the Wild

Danni Xu, Shaojing Fan, Harry Cheng, Mohan Kankanhalli

School of Computing (SoC), National University of Singapore (NUS), Singapore · Department of Electrical and Computer Engineering (ECE), National University of Singapore (NUS), Singapore

VLM Evaluation Multimodal Grounding Automated Fact-Checking

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Multimodal misinformation increasingly leverages visual persuasion, where repurposed or manipulated images strengthen misleading text. We introduce \textbf{RW-Post}, a post-aligned \textbf{text--image benchmark} for real-world multimodal fact-checking with \emph{auditable} annotations: each instance links the original social-media post with reasoning traces and explicitly linked evidence items derived from human fact-check articles via an LLM-assisted extraction-and-auditing pipeline. RW-Post supports controlled evaluation across closed-book, evidence-bounded, and open-web regimes, enabling systematic diagnosis of visual grounding and evidence utilization. We provide \textbf{AgentFact} as a reference verification baseline and benchmark strong open-source LVLMs under unified protocols. Experiments show substantial headroom: current models struggle with faithful evidence grounding, while evidence-bounded evaluation improves both accuracy and faithfulness. Code and dataset will be released at https://github.com/xudanni0927/AgentFact.

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