Amjada Fathima (93617004) <br/><br/>
Fake news detection using machine learning 

 - MSC CS 2017-2019 
<br/><br/> The explosive growth in fake news and its erosion to democracy, justice,<br/>and public trust has increased the demand for fake news analysis, detection<br/>and intervention.Fake news detection causes a challenging problem due to the<br/>great in<br/>uence of communication media over the public..The creditability of<br/>information was dened by many words such as trustworthiness, believability,<br/>reliability, accuracy, fairness, objectivity. The automatic fake news detection<br/>systems enable identication of deceptive news.In this project we develop a<br/>user friendly fake news detection model using various machine learning algorithms.popular<br/>methods used in this model are Naive Bayes, Support Vector<br/>Machine,logistic regression classier,Stochastic gradient desent.This model<br/>that can accurately predict the likelihood that a given news is fake or not. 
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<br/><br/><label>Subjects--Topical Terms: </label><br/>MACHINE LEARNING<br/>FAKE NEWS DETECTION<br/>NAIVE BAYES<br/>SUPPORT VECTOR MACHINE