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

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.