Veracity: An Open-Source AI Fact-Checking System
June 18, 2025 ยท Declared Dead ยท ๐ International Joint Conference on Artificial Intelligence
"No code URL or promise found in abstract"
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Authors
Taylor Lynn Curtis, Maximilian Puelma Touzel, William Garneau, Manon Gruaz, Mike Pinder, Li Wei Wang, Sukanya Krishna, Luda Cohen, Jean-Franรงois Godbout, Reihaneh Rabbany, Kellin Pelrine
arXiv ID
2506.15794
Category
cs.CL: Computation & Language
Cross-listed
cs.AI,
cs.HC
Citations
2
Venue
International Joint Conference on Artificial Intelligence
Last Checked
3 months ago
Abstract
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.
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