Fake News Detection Using Naive Bayes Classifier

被引：0

作者：

Granik, Mykhailo ^{[1
]}

Mesyura, Volodymyr ^{[1
]}

机构：

[1] Vinnytsia Natl Tech Univ, Dept Comp Sci, Vinnytsia, Ukraine

来源：

2017 IEEE FIRST UKRAINE CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (UKRCON) | 2017年

关键词：

fake news; naive Bayes classifier; artificial intelligence;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper shows a simple approach for fake news detection using naive Bayes classifier. This approach was implemented as a software system and tested against a data set of Facebook news posts. We achieved classification accuracy of approximately 74% on the test set which is a decent result considering the relative simplicity of the model. This results may be improved in several ways, that are described in the article as well. Received results suggest, that fake news detection problem can be addressed with artificial intelligence methods.

引用

页码：900 / 903

页数：4

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