International Journal Of Imaging

Abstract

DETECTION OF FAKE NEWS THROUGH IMPLEMENTATION OF DATA SCIENCE APPLICATION

Author: Ms. V. Kalyani, K. NAVEEN KUMAR, K. CHANDHRA PRRAKASH, J. LAVA KUMAR, B. SURYA TEJA BARATH VARSHA

Abstract:

Initially, the platform must be constructed in accordance with the data format associated with false and authentic news. The implemented programmes must be synchronised with the data structure during the design phase. The bogus database displays no news channel names, but the genuine dataset displays individual headquarters for each station. Manipulating the concept of dataset fraudulent channels are exploiting an unregistered news portal. As a result, using the original dataset, one may compare and explicitly identify them. In this venture, we are using LS-TM Recurrent Neural Network using (Long Short Term Memory) to forecast fake news because there is a large amount of fake news in all types of media such as social media or news media, and the author is training LS-TM' Genuine' and 'Fake' news data were used to train a neural network. We found FAKE NEWS messages on Twitter on the internet.