Fake News Detection and Analysis

Abstract

The popularized use of social media accelerates the spreading of fake news. The overwhelming amount of fake news was a severe social issue during the 2016 presidential election and the first outbreak of Coronavirus in 2020. As controlling the spread of fake news is not practically workable, the detection of fake news is significantly valuable to solve this issue. In this paper, we conduct experiments to discover the effect of contextualized embedding of news content on counterfeit news detection. We also explore the features of fake news through two aspects: clickbait and sentiment.