Title: Towards an automation of the fact-checking in the journalistic web context

Authors: Edouard Ngor Sarr; Ousmane Sall; Aminata Maiga; Mouhamadou Saliou Diallo

Addresses: Ecole Doctorale Développement Durable et Société (ED2DS) of University of Thies, Université Catholique de l'Afrique de l'Ouest (UCAO), BP 967-University of Thies, Senegal ' Département Informatique-UFR Sciences Et Technologie, University of Thies, BP 967-University of Thies, Senegal ' Département Informatique-UFR Sciences Et Technologie, University of Thies, BP 967-University of Thies, Senegal ' Department of Computer Sciences, Supdeco Dakar, 7, Avenue Faidherbe, Dakar 21354, Senegal

Abstract: Is Fact checking automatisable? Apparently, yes, since numerous moved forward noted in the search and the analysis of digital data. However, this task which in priori seemed to be simple, turns out rather binding. Indeed, automate the check of facts combine and requires at the same time very advanced knowledge in analysis of data, in search of web data, the web technologies, in image processing and sometimes in automatic natural language processing (NLP). Nevertheless, the latter years, numerous researches are led to deepen such an analysis. In this article, having revisited the state of the art concerning the question, we identify and diagnose in detail the obstacles before concluding with an explanation of the methods.

Keywords: fact-checking; data journalism; semantic web.

DOI: 10.1504/IJBDI.2019.10021741

International Journal of Big Data Intelligence, 2019 Vol.6 No.3/4, pp.307 - 321

Received: 08 Mar 2018
Accepted: 17 Nov 2018

Published online: 04 Jun 2019 *

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