Fake News Detection Using Machine Learning

Abstract: Fake news is one of the most popular phenomena that effects on our social life[2]. Nowadays, growing faux information turns into very smooth due to user’s considerable the usage of internet. It is a severe problem as its cap potential to motive a variety of social damage.In this paper, we can make an evaluation of studies associated with faux information detection. We will use system studying algorithms to pick the first-class version for detection of faux or actual information. The end result will display the accuracy of dataset. In this paper, we can use supervised studying like- Logistic Regression, svm, Naïve Bayes etc.