News aggregator web app with Fake news detection

Abstract

in recent times, due to the advent of technology, due to its ease of availability have made the passing of information very easy that leave little signs of authenticity. Such unvalidated news are termed as fake news. Manipulation of human mind has been illustrated for many decades via an adequate usage of news filled with hate and incorrect content. Recent progress in the field of smartphones, software has caused an abrupt increase in the realism of forged content and they can be made very conveniently. Dissemination of content with such absurdity is an easy task to do.. To accomplish this daunting task, we decided to use machine learning algorithm, some classifiers and Django. We begin by extracting features from passed on news. We will train a model using those extracted features. We will compare the performance of our model with some results from a standard data set. We will keep on improvising our model till it becomes good enough to work with real world data.