Automated Justification Production for Claim Veracity in Fact Checking: A Survey on Architectures and Approaches
This is an incremental survey that addresses the problem of misinformation for online content consumers and fact-checkers by summarizing existing research.
The paper surveys automated fact-checking (AFC) methods that verify claim accuracy by analyzing metadata and language, focusing on architectures and approaches for producing justifications, and it provides a taxonomy, comparative analysis, and future directions for improving explainability.
Automated Fact-Checking (AFC) is the automated verification of claim accuracy. AFC is crucial in discerning truth from misinformation, especially given the huge amounts of content are generated online daily. Current research focuses on predicting claim veracity through metadata analysis and language scrutiny, with an emphasis on justifying verdicts. This paper surveys recent methodologies, proposing a comprehensive taxonomy and presenting the evolution of research in that landscape. A comparative analysis of methodologies and future directions for improving fact-checking explainability are also discussed.