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ABSTRACT
This paper shows a simple approach for fake news detection using the Naïve Bayes Classifier. Here, the data is divided into test dataset and train dataset and the train dataset is divided into groups of similar information. Test data is later matched with these groups and accuracy is found using the Naïve Bayes Classifier. It helps is knowing whether a given news if fake or if it is real.
