# How We Refute Claims: Automatic Fact-Checking through Flaw Identification and Explanation. (arXiv:2401.15312v1 [cs.CL])


Automated fact-checking is a crucial task in the governance of internet content.
Although various studies utilize advanced models to tackle this issue, a
significant gap persists in addressing complex real-world rumors and deceptive
claims. To address this challenge, this paper explores the novel task of flaw-
oriented fact-checking, including aspect generation and flaw identification. We
also introduce RefuteClaim, a new framework designed specifically for this task.
Given the absence of an existing dataset, we present FlawCheck, a dataset
created by extracting and transforming insights from expert reviews into
relevant aspects and identified flaws. The experimental results underscore the
efficacy of RefuteClaim,

[Read Full Article](http://arxiv.org/abs/2401.15312)