Everyday people receive a lot of information through social media and online news portals. To distinguish whether the information is fake or true is a big problem. An algorithm has been developed to distinguish fake news and true news by searching the relevant news from reliable news website based on the news given. This results in the similarity percentage between news and the relevant news. The algorithm has been tested with the dataset collected by Dr. Victoria L. Rubin that consists of 180 true news and 180 fake news from several American and Canadian news websites. The precision of 69.44% has been achieved with the dataset.
Fake News Detection