FAKTA: An Automatic End-to-End Fact Checking System
This addresses the challenge of misinformation for media consumers and fact-checkers by automating fact-checking, though it appears incremental as it integrates existing components into a unified system.
The authors tackled the problem of automated fact-checking by developing FAKTA, an end-to-end system that integrates document retrieval, stance detection, evidence extraction, and linguistic analysis to predict claim factuality and provide evidence, achieving a unified framework for this process.
We present FAKTA which is a unified framework that integrates various components of a fact checking process: document retrieval from media sources with various types of reliability, stance detection of documents with respect to given claims, evidence extraction, and linguistic analysis. FAKTA predicts the factuality of given claims and provides evidence at the document and sentence level to explain its predictions