News Credibility Scroing: Suggestion of research methodology to determine the reliability of news distributed in SNS

Abstract

We provide a more optimized model for calculating credibility score of information in SNS. We premeditated two heuristics which using characteristics of the credibility score for each document: (1) Expertise and (2) un-biasedness. Also, we divide the users in SNs into three types: (1) Creator (2) Distributor, and (3) Follower. Our model is designed to calculate Expertise and Un-biasedness for three types of SNs users (Creator, Distributor, and Follower) by using logistic regression model. Our model not only reveals whether the information is ‘accurate and unbiased’, but also investigates the ‘source, distribution channel, and audience’ of the information. We expect our credibility scoring will give answers to the ‘qualitative problem’ our online world is currently facing.