期刊
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
卷 36, 期 5, 页码 4869-4876出版社
IOS PRESS
DOI: 10.3233/JIFS-179034
关键词
Fake news; corpus; Spanish; resource; machine learning
资金
- CONACYT [240844]
- SIP-IPN [20181849, 20171813]
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据