Text-mining-based Fake News Detection Using Ensemble Methods

作     者：Harita Reddy Namratha Raj Manali Gala Annappa Basava Harita Reddy;Namratha Raj;Manali Gala;Annappa Basava

作者机构：Department of Computer Science and EngineeringNational Institute of Technology KarnatakaMangalore 575025India 

出 版 物：《International Journal of Automation and computing》 (国际自动化与计算杂志（英文版）)

年 卷 期：2020年第17卷第2期

页      面：210-221页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081203[工学-计算机应用技术] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Fake news social media stylometric features word vectors ensemble methods 

摘      要：Social media is a platform to express one′s views and opinions freely and has made communication easier than it was *** also opens up an opportunity for people to spread fake news *** ease of access to a variety of news sources on the web also brings the problem of people being exposed to fake news and possibly believing such *** makes it important for us to detect and flag such content on social *** the current rate of news generated on social media,it is difficult to differentiate between genuine news and hoaxes without knowing the source of the *** paper discusses approaches to detection of fake news using only the features of the text of the news,without using any other related *** observe that a combination of stylometric features and text-based word vector representations through ensemble methods can predict fake news with an accuracy of up to 95.49%.