Published Paper Details:

Utmost of the smart phone druggies prefer to read the news via social media over internet. The news websites are publishing the news and give the source of authentication. The question is how to authenticate the news and papers which are circulated among social media like WhatsApp groups, Facebook runners, Twitter and other micro blogs & social networking spots. It's dangerous for the society to believe on the rumours and pretend to be a news. The need of an hour is to stop the rumours especially in the developing countries like India, and concentrate on the correct, authenticated newspapers. This paper demonstrates a model and the methodology for fake news discovery. With the help of Machine literacy and natural language processing, it's tried to total the news and latterly determine whether the news is real or fake using Support Vector Machine. The results of the proposed model are compared with being models. The proposed model is working well and defining the correctness of results up to93.6 of delicacy.