• CH.SAI NIKHIL
• ANAGURTHI KUNAL
• JOHN SANDESH NETHALA
• S.LEELAVATHY

There has been a rapid increase in the spread of fake news in the last decade, most prominently observed in the 2016 US elections. Such proliferation of sharing articles online that do not conform to facts has led to many problems not just limited to politics but covering various other domains such as sports, health, and also science. One such area affected by fake news is the financial markets, where a rumour can have disastrous consequences and may bring the market to a halt. This project is about designing a fake news predictor using the deep learning techniques in which we will be classifying the original and the fake news of same topic by applying different techniques, there is fake news in every industry in the society which mis leads the people and creates confusion in the society. Due to the advancement of technology the fake news is circulated very quickly which creates panic in the public, the deep learning model we create will identify original and fake news so that the people will not fall into the trap of fake news.

Online fake news, Machine learning, fake news, Text Classification, social media.

"Fake News Prediction using Deep Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.h494-h499, May-2022, Available :http://www.jetir.org/papers/JETIR2205864.pdf

"Fake News Prediction using Deep Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. pph494-h499, May-2022, Available at : http://www.jetir.org/papers/JETIR2205864.pdf