Veracity: An Open-Source AI Fact-Checking System

Fuente: arXiv
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Main Authors: Curtis, Taylor Lynn, Touzel, Maximilian Puelma, Garneau, William, Gruaz, Manon, Pinder, Mike, Wang, Li Wei, Krishna, Sukanya, Cohen, Luda, Godbout, Jean-François, Rabbany, Reihaneh, Pelrine, Kellin
Format: Preprint
Published: 2025
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author Curtis, Taylor Lynn
Touzel, Maximilian Puelma
Garneau, William
Gruaz, Manon
Pinder, Mike
Wang, Li Wei
Krishna, Sukanya
Cohen, Luda
Godbout, Jean-François
Rabbany, Reihaneh
Pelrine, Kellin
author_facet Curtis, Taylor Lynn
Touzel, Maximilian Puelma
Garneau, William
Gruaz, Manon
Pinder, Mike
Wang, Li Wei
Krishna, Sukanya
Cohen, Luda
Godbout, Jean-François
Rabbany, Reihaneh
Pelrine, Kellin
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2506_15794
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Veracity: An Open-Source AI Fact-Checking System
Curtis, Taylor Lynn
Touzel, Maximilian Puelma
Garneau, William
Gruaz, Manon
Pinder, Mike
Wang, Li Wei
Krishna, Sukanya
Cohen, Luda
Godbout, Jean-François
Rabbany, Reihaneh
Pelrine, Kellin
Computation and Language
Artificial Intelligence
Human-Computer Interaction
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.
title Veracity: An Open-Source AI Fact-Checking System
topic Computation and Language
Artificial Intelligence
Human-Computer Interaction
url https://arxiv.org/abs/2506.15794