An Overview of Rumor and Fake News Detection Approaches

Abstract

People in this day and age like to keep up with the most recent news on social media since it is economical, simple, and can be obtained in a short amount of time. However, social media can be a double-edged sword, since it may propagate fake news or information that cannot be relied upon. The dissemination of false information could adversely affect both individuals and society as a whole. Therefore, researchers gave their all to devise a system that could identify fake news before its publication. This article gives an overview of the most major attempts that have been made to construct a system that can filter online news and detect false news with a decent amount of accuracy. Data mining approaches were reviewed in the detection phase, including feature extraction and model construction.