• Dr.M.Rajeswari
• G. SAKTHI

These days a lot of information is being shared over social media and we are not able to differentiate between which information is fake and which is real. People immediately start expressing their concern or sharing their opinion as soon as they come across a post, without verifying its authenticity. This further results in spreading of it. Fake news and rumors are the most popular forms of false and unauthenticated information and should be detected as soon as possible for avoiding their dramatic consequences. This paper is a review and comprehensive analysis of the articles in recent literatures which were about detecting fake news over social media. The aim of this work is to create a system or model that can use the data of past news reports and predict the chances of a news report being fake or not. Various researchers have attempted solving this challenge in a multitude of ways to test which method works and get desirable results.

Multi-layer Perceptron, Accuracy Level, Prediction and Analyzing

"FAKE NEWS DETECTION USING MACHINE LEARNING EMPLOYING DECISION TREE ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.120-124, June-2022, Available :http://www.jetir.org/papers/JETIRFN06019.pdf

"FAKE NEWS DETECTION USING MACHINE LEARNING EMPLOYING DECISION TREE ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp120-124, June-2022, Available at : http://www.jetir.org/papers/JETIRFN06019.pdf