Veracity: An Open-Source AI Fact-Checking System
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Abstract (arXiv)
The proliferation of misinformation poses a significant threat to society, exacerbated by the capabilities of generative AI. This demo paper introduces Veracity, an open-source AI system designed to empower individuals to combat misinformation through transparent and accessible fact-checking. Veracity leverages the synergy between Large Language Models (LLMs) and web retrieval agents to analyze user-submitted claims and provide grounded veracity assessments with intuitive explanations. Key features include multilingual support, numerical scoring of claim veracity, and an interactive interface inspired by familiar messaging applications. This paper will showcase Veracity's ability to not only detect misinformation but also explain its reasoning, fostering media literacy and promoting a more informed society.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 8 of its 22 references that are in the map. First posted on arXiv 18 Jun 2025.
Builds on
8 of 22 references.
References · 8
- 2024Long-form factuality in large language modelscited by 155
- 2023Factuality Challenges in the Era of Large Language Modelscited by 126
- 2023Towards Reliable Misinformation Mitigation: Generalization, Uncertainty, and GPT-4cited by 45
- 2020A Review on Fact Extraction and Verificationcited by 29
- 2023Exploiting Novel GPT-4 APIscited by 28
- 2024Web Retrieval Agents for Evidence-Based Misinformation Detectioncited by 13
- 2024Customized large language models can outperform Community Notes in correcting misinformationcited by 9
- 2024CrediRAG: Network-Augmented Credibility-Based Retrieval for Misinformation Detection in Redditcited by 3
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Citing papers per year: 2026: 2.
2 papers.