Detection of fake news in a new corpus for the Spanish language

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Resumen

We present a new resource to analyze and detect deceptive information that is present in a huge amount of news websites. Specifically, we compiled a corpus of news in the Spanish language extracted from several websites. The corpus is annotated with two labels (real and fake) for automatic fake news detection. Furthermore, the corpus also provides the category of the news, presenting a detailed analysis on vocabulary overlap among categories. Finally, we present a style-based fake news detection method. The obtained results showthat the introduced corpus is an interesting resource for future research in this area.

Idioma originalInglés
Páginas (desde-hasta)4868-4876
Número de páginas9
PublicaciónJournal of Intelligent and Fuzzy Systems
Volumen36
N.º5
DOI
EstadoPublicada - 2019

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