Automated Justification Production for Claim Veracity in Fact Checking: A Survey on Architectures and Approaches

TL;DR

This survey reviews recent architectures and approaches for automated claim verification and justification generation in fact-checking, highlighting the evolution, taxonomy, and future directions for explainability.

Contribution

It provides a comprehensive taxonomy and comparative analysis of methodologies for automated justification production in fact-checking.

Findings

Evolution of fact-checking architectures

Taxonomy of justification approaches

Future directions for explainability

Abstract

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.