Not Everything You Read Is True! Fake News Detection using Machine learning Algorithms

Abstract

This paper considers establishing if a news article is true or if it has been faked. To achieve the task accurately, the work compares different machine learning classification algorithm with the different feature extraction methods. The algorithm with the feature extraction method giving the highest accuracy is then used for future prediction of the labels of news headlines. In this work the algorithm show to have the highest accuracy was logistic regression with 71% percent accuracy when used with tf-idf feature extraction method.