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

被引：44

作者：

Posadas-Duran, Juan-Pablo ^{[1
]}

Gomez-Adorno, Helena ^{[2
]}

Sidorov, Grigori ^{[3
]}

Moreno Escobar, Jesus Jaime ^{[1
]}

机构：

[1] Inst Politecn Nacl, ESIME Zacatenco, Unidad Zacatenco, Escuela Super Ingn Meccan & Elect, Mexico City, DF, Mexico

[2] Univ Nacl Autonoma Mexico, IIMAS, Mexico City, DF, Mexico

[3] Inst Politecn Nacl, CIC, Mexico City, DF, Mexico

来源：

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2019年 / 36卷 / 05期

关键词：

Fake news; corpus; Spanish; resource; machine learning;

D O I：

10.3233/JIFS-179034

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 show that the introduced corpus is an interesting resource for future research in this area.

引用

页码：4869 / 4876

页数：8

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