A Model for Visibility Reduction Extended Hybrid Fake News Detection System

Since the advent of the internet and mostly the birth of the social media, fake news has escalated significantly and because of this, traditional fact checking approaches such as reviewing each news article has become nearly impossible. Tackling this increase in fake news contents gave rise to the machine-based approach though they faced their limitations which include the absence of a unified database, ambiguities etc. The limitations of the machine-based approach led to the hybrid (Artificial Intelligence-human) approach that combine the efforts of both man and machine resulting to the flagging of news articles as fake. This has shown a lot of promise however; recent research has shown that flagging of news articles as fake has small effect in supporting users in classifying fake news because of a psychological effect called the Illusory truth effect. In this paper, we describe an extended hybrid fake news detection system that not only flags news as fake but also reduces their visibility to reduce Illusory truth effect.