A fuzzy approach for measuring sentence checkability—preliminary results

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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?”.

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Farinha, H., & Carvalho, J. P. (2019). A fuzzy approach for measuring sentence checkability—preliminary results. In Studies in Computational Intelligence (Vol. 796, pp. 183–190). Springer Verlag. https://doi.org/10.1007/978-3-030-00485-9_21

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