A Fuzzy Approach for Measuring Sentence Checkability—Preliminary Results

Abstract

Fact-checking has recently become a real world hot topic, especially in what concerns political claims. Several big players, such as, for example, Google or Facebook, have started addressing/making contributions to make “Fact-checking” possible/available to the general public. However, most, if not all Fact-checking platforms are largely manual, in the sense that most of the contributions and of the actual checking is performed by humans. Automatic computational Fact-checking is still very far from being reliable and available on a large scale. In this paper we contribute to the goal of automatic Fact-checking by presenting a fuzzy approach to computing sentence checkability, i.e., to answer the question: “is it possible to know if a sentence is worth to be checked?”