Supervised Learning for Fake News Detection.

IEEE Intelligent Systems(2019)

引用 354|浏览130
暂无评分
摘要
A large body of recent works has focused on understanding and detecting fake news stories that are disseminated on social media. To accomplish this goal, these works explore several types of features extracted from news stories, including source and posts from social media. In addition to exploring the main features proposed in the literature for fake news detection, we present a new set of featur...
更多
查看译文
关键词
Feature extraction,Facebook,Data mining,IP networks,Radio frequency,Affective computing
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要