{"total":81,"rows":[{"id":"2104.08718","title":"CLIPScore: A Reference-free Evaluation Metric for Image Captioning","created":"2021-04-18","cited_by_count":2424,"area":null},{"id":"2304.02556","title":"Detecting and Grounding Multi-Modal Media Manipulation","created":"2023-04-05","cited_by_count":99,"area":null},{"id":"2112.00061","title":"Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources","created":"2021-11-30","cited_by_count":71,"area":null},{"id":"2406.08772","title":"MMFakeBench: A Mixed-Source Multimodal Misinformation Detection Benchmark for LVLMs","created":"2024-06-13","cited_by_count":61,"area":null},{"id":"2309.14203","title":"Detecting and Grounding Multi-Modal Media Manipulation and Beyond","created":"2023-09-25","cited_by_count":56,"area":null},{"id":"2305.13507","title":"Multimodal Automated Fact-Checking: A Survey","created":"2023-05-22","cited_by_count":53,"area":null},{"id":"2412.10510","title":"DEFAME: Dynamic Evidence-based FAct-checking with Multimodal Experts","created":"2024-12-13","cited_by_count":43,"area":null},{"id":"2304.14133","title":"VERITE: A Robust Benchmark for Multimodal Misinformation Detection Accounting for Unimodal Bias","created":"2023-04-27","cited_by_count":39,"area":null},{"id":"2403.01988","title":"FKA-Owl: Advancing Multimodal Fake News Detection through Knowledge-Augmented LVLMs","created":"2024-03-04","cited_by_count":38,"area":null},{"id":"2303.01217","title":"Synthetic Misinformers: Generating and Combating Multimodal Misinformation","created":"2023-03-02","cited_by_count":23,"area":null},{"id":"2311.01766","title":"Support or Refute: Analyzing the Stance of Evidence to Detect Out-of-Context Mis- and Disinformation","created":"2023-11-03","cited_by_count":21,"area":null},{"id":"2311.09939","title":"RED-DOT: Multimodal Fact-checking via Relevant Evidence Detection","created":"2023-11-16","cited_by_count":18,"area":null},{"id":"2505.17978","title":"AVerImaTeC: A Dataset for Automatic Verification of Image-Text Claims with Evidence from the Web","created":"2025-05-23","cited_by_count":18,"area":null},{"id":"2112.08594","title":"Twitter-COMMs: Detecting Climate, COVID, and Military Multimodal Misinformation","created":"2021-12-16","cited_by_count":16,"area":null},{"id":"2306.05523","title":"FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answering","created":"2023-05-22","cited_by_count":16,"area":null},{"id":"2302.07919","title":"COVID-VTS: Fact Extraction and Verification on Short Video Platforms","created":"2023-02-15","cited_by_count":15,"area":null},{"id":"2309.09667","title":"Unified Frequency-Assisted Transformer Framework for Detecting and Grounding Multi-Modal Manipulation","created":"2023-09-18","cited_by_count":14,"area":null},{"id":"2502.01194","title":"COVE: COntext and VEracity prediction for out-of-context images","created":"2025-02-03","cited_by_count":14,"area":null},{"id":"2505.16836","title":"Fact-R1: Towards Explainable Video Misinformation Detection with Deep Reasoning","created":"2025-05-22","cited_by_count":14,"area":null},{"id":"2209.03755","title":"Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems","created":"2022-09-07","cited_by_count":12,"area":null},{"id":"2411.09547","title":"Piecing It All Together: Verifying Multi-Hop Multimodal Claims","created":"2024-11-14","cited_by_count":12,"area":null},{"id":"2407.13488","title":"Similarity over Factuality: Are we making progress on multimodal out-of-context misinformation detection?","created":"2024-07-18","cited_by_count":11,"area":null},{"id":"2412.14686","title":"Each Fake News is Fake in its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection","created":"2024-12-19","cited_by_count":11,"area":null},{"id":"2105.12855","title":"Multi-Modal Semantic Inconsistency Detection in Social Media News Posts","created":"2021-05-26","cited_by_count":10,"area":null},{"id":"2311.14315","title":"Robust Domain Misinformation Detection via Multi-modal Feature Alignment","created":"2023-11-24","cited_by_count":10,"area":null},{"id":"2509.04448","title":"TRUST-VL: An Explainable News Assistant for General Multimodal Misinformation Detection","created":"2025-09-04","cited_by_count":10,"area":null},{"id":"2502.11361","title":"VLDBench Evaluating Multimodal Disinformation with Regulatory Alignment","created":"2025-02-17","cited_by_count":9,"area":null},{"id":"2404.18971","title":"Credible, Unreliable or Leaked?: Evidence Verification for Enhanced Automated Fact-checking","created":"2024-04-29","cited_by_count":8,"area":null},{"id":"2505.17476","title":"The Coherence Trap: When MLLM-Crafted Narratives Exploit Manipulated Visual Contexts","created":"2025-05-23","cited_by_count":8,"area":null},{"id":"2510.23508","title":"M4FC: a Multimodal, Multilingual, Multicultural, Multitask Real-World Fact-Checking Dataset","created":"2025-10-27","cited_by_count":7,"area":null},{"id":"2508.12711","title":"Drifting Away from Truth: GenAI-Driven News Diversity Challenges LVLM-Based Misinformation Detection","created":"2025-08-18","cited_by_count":6,"area":null},{"id":"2601.08611","title":"VeriTaS: The First Dynamic Benchmark for Multimodal Automated Fact-Checking","created":"2026-01-13","cited_by_count":6,"area":null},{"id":"2506.05890","title":"Unleashing the Potential of Consistency Learning for Detecting and Grounding Multi-Modal Media Manipulation","created":"2025-06-06","cited_by_count":5,"area":null},{"id":"2202.07706","title":"Misinformation Detection in Social Media Video Posts","created":"2022-02-15","cited_by_count":4,"area":null},{"id":"2403.00411","title":"Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in Turkish","created":"2024-03-01","cited_by_count":4,"area":null},{"id":"2408.09939","title":"\"Image, Tell me your story!\" Predicting the original meta-context of visual misinformation","created":"2024-08-19","cited_by_count":4,"area":null},{"id":"2502.11753","title":"HintsOfTruth: A Multimodal Checkworthiness Detection Dataset with Real and Synthetic Claims","created":"2025-02-17","cited_by_count":4,"area":null},{"id":"2505.19768","title":"T^2Agent A Tool-augmented Multimodal Misinformation Detection Agent with Monte Carlo Tree Search","created":"2025-05-26","cited_by_count":4,"area":null},{"id":"2509.12653","title":"Beyond Artificial Misalignment: Detecting and Grounding Semantic-Coordinated Multimodal Manipulations","created":"2025-09-16","cited_by_count":4,"area":null},{"id":"2509.25991","title":"Towards Unified Multimodal Misinformation Detection in Social Media: A Benchmark Dataset and Baseline","created":"2025-09-30","cited_by_count":4,"area":null},{"id":"2512.10652","title":"TriDF: Evaluating Perception, Detection, and Hallucination for Interpretable DeepFake Detection","created":"2025-12-11","cited_by_count":4,"area":null},{"id":"2402.11159","title":"Assessing News Thumbnail Representativeness: Counterfactual text can enhance the cross-modal matching ability","created":"2024-02-17","cited_by_count":3,"area":null},{"id":"2406.07430","title":"Learning Domain-Invariant Features for Out-of-Context News Detection","created":"2024-06-11","cited_by_count":3,"area":null},{"id":"2508.20765","title":"Looking Beyond the Obvious: A Survey on Abstract Concept Recognition for Video Understanding","created":"2025-08-28","cited_by_count":3,"area":null},{"id":"2603.25423","title":"From Manipulation to Mistrust: Explaining Diverse Micro-Video Misinformation for Robust Debunking in the Wild","created":"2026-03-26","cited_by_count":3,"area":null},{"id":"2403.08783","title":"Image-Text Out-Of-Context Detection Using Synthetic Multimodal Misinformation","created":"2024-01-29","cited_by_count":2,"area":null},{"id":"2406.04756","title":"Interpretable Multimodal Out-of-context Detection with Soft Logic Regularization","created":"2024-06-07","cited_by_count":2,"area":null},{"id":"2505.18221","title":"Evidence-Grounded Multimodal Misinformation Detection with Attention-Based GNNs","created":"2025-05-23","cited_by_count":2,"area":null},{"id":"2508.20670","title":"\"Humor, Art, or Misinformation?\": A Multimodal Dataset for Intent-Aware Synthetic Image Detection","created":"2025-08-28","cited_by_count":2,"area":null},{"id":"2509.26047","title":"DGM4+: Dataset Extension for Global Scene Inconsistency","created":"2025-09-30","cited_by_count":2,"area":null},{"id":"2602.11221","title":"The Automatic Verification of Image-Text Claims (AVerImaTeC) Shared Task","created":"2026-02-11","cited_by_count":2,"area":null},{"id":"2604.15372","title":"The Synthetic Media Shift: Tracking the Rise, Virality, and Detectability of AI-Generated Multimodal Misinformation","created":"2026-04-15","cited_by_count":2,"area":null},{"id":"2605.10357","title":"RW-Post: Auditable Evidence-Grounded Multimodal Fact-Checking in the Wild","created":"2026-05-11","cited_by_count":2,"area":null},{"id":"2304.01328","title":"Grand Challenge On Detecting Cheapfakes","created":"2023-04-03","cited_by_count":1,"area":null},{"id":"2311.16496","title":"Can Out-of-Domain data help to Learn Domain-Specific Prompts for Multimodal Misinformation Detection?","created":"2023-11-27","cited_by_count":1,"area":null},{"id":"2501.14728","title":"Mitigating GenAI-Powered Evidence Pollution for Out-Of-Context Misinformation Detection","created":"2025-01-24","cited_by_count":1,"area":null},{"id":"2504.06010","title":"Latent Reconstruction from Generated Data for Multimodal Misinformation Detection","created":"2025-04-08","cited_by_count":1,"area":null},{"id":"2511.05883","title":"Unveiling Modality Bias: Automated Sample-Specific Analysis for Multimodal Misinformation Benchmarks","created":"2025-11-08","cited_by_count":1,"area":null},{"id":"2511.10213","title":"Out-of-Context Misinformation Detection via Variational Domain-Invariant Learning with Test-Time Training","created":"2025-11-13","cited_by_count":1,"area":null},{"id":"2601.05874","title":"Continual-learning for Modelling Low-Resource Languages from Large Language Models","created":"2026-01-09","cited_by_count":1,"area":null},{"id":"2601.11220","title":"MultiCaption: Detecting disinformation using multilingual visual claims","created":"2026-01-16","cited_by_count":1,"area":null},{"id":"2606.03348","title":"SynCred-Bench: Benchmarking Synthetic Credibility in AI-Generated Visual Misinformation","created":"2026-06-02","cited_by_count":1,"area":null},{"id":"2502.00752","title":"Zero-Shot Warning Generation for Misinformative Multimodal Content","created":"2025-02-02","cited_by_count":0,"area":null},{"id":"2506.22930","title":"Towards Explainable Bilingual Multimodal Misinformation Detection and Localization","created":"2025-06-28","cited_by_count":0,"area":null},{"id":"2509.26039","title":"SGS: Segmentation-Guided Scoring for Global Scene Inconsistencies","created":"2025-09-30","cited_by_count":0,"area":null},{"id":"2512.22933","title":"RW-Post: Auditable Evidence-Grounded Multimodal Fact-Checking in the Wild","created":"2025-12-28","cited_by_count":0,"area":null},{"id":"2601.03434","title":"VNU-Bench: A Benchmarking Dataset for Multi-Source Multimodal News Video Understanding","created":"2026-01-06","cited_by_count":0,"area":null},{"id":"2602.10023","title":"MEVER: Multi-Modal and Explainable Claim Verification with Graph-based Evidence Retrieval","created":"2026-02-10","cited_by_count":0,"area":null},{"id":"2602.14441","title":"D-SECURE: Dual-Source Evidence Combination for Unified Reasoning in Misinformation Detection","created":"2026-02-16","cited_by_count":0,"area":null},{"id":"2604.04692","title":"Is a Picture Worth a Thousand Words? Adaptive Multimodal Fact-Checking with Visual Evidence Necessity","created":"2026-04-06","cited_by_count":0,"area":null},{"id":"2605.10394","title":"Sens-VisualNews: A Benchmark Dataset for Sensational Image Detection","created":"2026-05-11","cited_by_count":0,"area":null},{"id":"2606.01285","title":"Knowledge-Intensive Video Generation","created":"2026-05-31","cited_by_count":0,"area":null},{"id":"2606.24112","title":"ReMMD: Realistic Multilingual Multi-Image Agentic Verification for Multimodal Misinformation Detection","created":"2026-06-23","cited_by_count":0,"area":null},{"id":"2606.31367","title":"Evidence Triangulation for Multimodal Fact-Checking in the Wild","created":"2026-06-30","cited_by_count":0,"area":null},{"id":"2607.10402","title":"Large Language Models in Misinformation Ecosystems: Misuse, Defense, and Vulnerability","created":"2026-07-11","cited_by_count":0,"area":null},{"id":"2607.23581","title":"Verification-Notebook Learning for Source-Aware Multimodal Misinformation Detection","created":"2026-07-26","cited_by_count":0,"area":null},{"id":"2608.19212","title":"NepOOC-M: Bilingual Nepali-English Benchmark and Comparative Analysis of Multimodal Architectures for OOC Detection","created":"2026-06-18","cited_by_count":0,"area":null},{"id":"2608.27358","title":"RCMN: Understanding Misleadingness in Influential Public Discourse","created":"2026-08-27","cited_by_count":0,"area":null},{"id":"2609.04452","title":"TRILOGUE: A Trilingual Spoken Dialogue Fact-Checking Benchmark with Evidence and Paired Audio","created":"2026-09-03","cited_by_count":0,"area":null},{"id":"2609.30402","title":"What Improves Multimodal Misinformation Detection? Answers from a Large-Scale Empirical Study","created":"2026-09-24","cited_by_count":0,"area":null},{"id":"2609.31766","title":"UNMATCH: Selective Unbalanced Token-Patch Matching for Forensic Image-Claim Verification","created":"2026-09-24","cited_by_count":0,"area":null}],"next_cursor":null}