Veracity: An Online, Open-Source Fact-Checking Solution
Track: Tiny Paper Track (between 2 and 4 pages)
Keywords: Misinformation, Fact-Checking, AI for good, Trust
TL;DR: This paper describes the use of AI algorithms, specifically LLMs, in the domain of fact-checking to build trust in LLMs with these models
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.
Submission Number: 91
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