An Evaluation System for Credibility of Fake News using Dynamic Relational Networks

Abstract

This study aims to construct a system to support evaluating credibility of fake news. We proposed a credibility evaluating model using dynamic relationship network which dynamically determines credibility by relative consistency. This credibility evaluation model consists of a conclusion node representing the truth and false of the article and a fact node having information of 5W1H. For evaluation of the crudities model, we evaluated the network using non-fake news and fake news. As a result, it is possible to identify unreliable information from the fact node, and the conclusion node. It was also known found that the trend of the article can be inferred.