Research Paper#Fact-Checking, Multimodal Learning, Agent-Based Systems🔬 ResearchAnalyzed: Jan 3, 2026 19:25
Multimodal Fact-Checking with Agents
Published:Dec 28, 2025 13:58
•1 min read
•ArXiv
Analysis
This paper addresses the critical problem of multimodal misinformation by proposing a novel agent-based framework, AgentFact, and a new dataset, RW-Post. The lack of high-quality datasets and effective reasoning mechanisms are significant bottlenecks in automated fact-checking. The paper's focus on explainability and the emulation of human verification workflows are particularly noteworthy. The use of specialized agents for different subtasks and the iterative workflow for evidence analysis are promising approaches to improve accuracy and interpretability.
Key Takeaways
- •Proposes AgentFact, an agent-based framework for multimodal fact-checking.
- •Introduces RW-Post, a new dataset for real-world multimodal fact-checking.
- •Emphasizes explainability and the emulation of human verification workflows.
- •Demonstrates improved accuracy and interpretability through the synergy of RW-Post and AgentFact.
Reference
“AgentFact, an agent-based multimodal fact-checking framework designed to emulate the human verification workflow.”