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A Survey on Fake News Detection Using Machine Learning Techniques
Author Name : Axit Kachhia
ABSTRACT We know that now a days there us a tremendous use of internet, and there are many things people are get to know from the sources of internet. It is require to know that each and every source or a data coming from the internet should be valid and cannot be fake, so that people who are used to get information from those internet sources are able to get the authenticate data. This kind of false stories when they are broadcast can have a severe effect. Therefore it is very important that certain steps are taken to reduce or differentiate between real and false news. This paper introduces a Fake news detection survey. The proposed model will be use Machine Learning and Natural Language Processing (NLP) techniques to achieve high accuracy.