Detecting Fake News with Machine Learning Method

Fake news has immense impact in our modern society. Detecting Fake news is an important step. This work proposes the use of machine learning techniques to detect Fake news. Three popular methods are used in the experiments: Naive Bayes, Neural Network and Support Vector Machine. The normalization method is important step for cleaning data before using the machine learning method to classify data. The result show that Naive Bayes to detect Fake news has accuracy 96.08%. Two other more advance methods which are Neural Network and Support Vector Machine achieve the accuracy of 99.90%.