News validation system

Abstract

The news is an information of particular interest that was not known in the past, the information implied by news should be accurate and reliable. There are millions of news shared over social media each day without validation. Currently, there exists no resource that could validate whether any news article is giving valid information or not. Here comes the existence of News Validation System. There are various news analysis methods that would validate news. Our news validation system implements methods that would be more feasible, accurate and reliable out of all methods present for news validation. Our system will go with a hybrid approach. A hybrid approach is the combination of both linguistic and network approach, this approach is developed by integrating advantages of linguistic and network approach and by eliminating their drawbacks. It has components like authentic source identification, date validation, data collection, comparison and support analysis. All these parameters will conclude in well formed results. The system will feed upon a normal text of information in the context of news articles, the output of the system will be a probability percentage, that would tell at which extent the information is reliable and valid. Our work in news validation system can help cut down potential misleading information in the news and we can make sure that everyone gets reliable, dependable, authentic and accurate information.