Fake News Detection Using Deep Learning Techniques

Abstract

News is crucial part of our life. In day to day life current news are helpful to enhance knowledge what happen around the world. So most of peoples prefer watching news most of the peoples generally prefer reading newspaper early in the morning enjoying with cup of tea. If news is fake that will mislead peoples sometimes fake news utilized to spread rumors about things or it will affect some political leader positions just because of fake news. So it’s crucial to find the fake news. So we proposed system to detect fake news but now a day’s data on web or social media is increasing vastly and it is so hectic to detect news is fake or not by looking all data and it is time consuming so we utilize classification techniques to classify huge data. Here we proposed fake news detection system based on classification such as Logistic regression (LR), Naïve bayes (NB), Support vector machine (SVM), Random forest (RF) and deep neural network (DNN). We compare all machine learning techniques for detecting fake news.