• Dr.M. RAJESWARI
• A.SRINIRANJANI

Most of the smart phone users prefer to read the news via social media over internet. The news websites are publishing the news and provide the source of authentication. The question is how to authenticate the news and articles which are circulated among social media like WhatsApp groups, Facebook Pages, Twitter and other micro blogs & social networking sites. It is harmful for the society to believe on the rumors and pretend to be a news. The need of an hour is to stop the rumors especially in the developing countries like India, and focus on the correct, authenticated news articles. This paper demonstrates a model and the methodology for fake news detection. With the help of Machine learning and natural language processing, it is tried to aggregate the news and later determine whether the news is real or fake using Logistic regression.The proposed model is working well and defining correctness of the results 97.21 % of accuracy .

Accuracy level, Analysing, Logistic regression.

"FAKE NEWS DETECTION USING LOGISTIC REGRESSION ALGORITHM WITH MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.94-98, June-2022, Available :http://www.jetir.org/papers/JETIRFN06014.pdf

"FAKE NEWS DETECTION USING LOGISTIC REGRESSION ALGORITHM WITH MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp94-98, June-2022, Available at : http://www.jetir.org/papers/JETIRFN06014.pdf