UNVEILING THE MIRAGE & TRUTH SEEKER : A MACHINE LEARNING APPROACH TO COMBATTING FAKE NEWS

Abstract

Fake News detection is a big challenge in today’s world , which favors the human from prevent spreading misinformation. For detection of incorrect news and truth seeking eyes has hunger of real news , we created a Machine Learning model on Fake News Detection. Identifying and combating fake news is a critical endeavor, involving the differentiation between harmful misinformation and genuine information. These misleading articles might contain malicious links aimed at compromising users' personal data through deceptive tactics.A simple and fast technique to detect fake news is proposed here. This paper employes a combination of machine learning, deep learning and NLP technique. Machine Learning is used to find relation between different kind of data. Deep Learning is used to find the relationship between different kind of data including image recognition in natural language processing, speech recognition etc. Thus different learning algorithm is used for correct output details of different kind of input data.