When Seeing Is Not Believing -- A Benchmark for Search-Grounded Video Misinformation Detection
cs.CV
Submitted: 2026-06-02
Updated: 2026-10-19
Comments: EMNLP 2026 Findings, 57 pages, 7 figures
Code: https://github.com/yutao1024/EVID-Bench
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues
- Multi-modal Misinformation Detection: Approaches, Challenges and Opportunities
- Exposing Cross-Modal Consistency for Fake News Detection in Short-Form Videos
- MERIT: Modular Framework for Multimodal Misinformation Detection with Web-Grounded Reasoning
- COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learning
- ShotFinder: Imagination-Driven Open-Domain Video Shot Retrieval via Web Search
- Beyond Closed-Pool Video Retrieval: A Benchmark and Agent Framework for Real-World Video Search and Moment Localization
- DF-Net: The Digital Forensics Network for Image Forgery Detection
- Text-Video Multi-Grained Integration for Video Moment Montage
- Official-NV: An LLM-Generated News Video Dataset for Multimodal Fake News Detection
- Probing Multimodal Large Language Models on Cognitive Biases in Chinese Short-Video Misinformation
- Seedance 2.0: Advancing Video Generation for World Complexity
- Qwen3-VL Technical Report
Related papers
- Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
- AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
- Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
- MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
- TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
- A Survey on Efficient Vision-Language-Action Models