  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.
