Fake News Detection using Deep Learning
Vaishnavi R1, Anitha Kumari S2
1Vaishnavi R*, Dept. of Computer Science and Engineering, LBS Institute of Technology for Women, Trivandrum, India.
2Anitha Kumari S, Dept. of Computer Science and Engineering, LBS Institute of Technology for Women, Trivandrum, India.
Manuscript received on June 15, 2020. | Revised Manuscript received on June 23, 2020. | Manuscript published on July 10, 2020. | PP: 226-228 | Volume-9 Issue-9, July 2020 | Retrieval Number: 100.1/ijitee.I7059079920 | DOI: 10.35940/ijitee.I7059.079920
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: News is a routine in everyone’s life. It helps in enhancing the knowledge on what happens around the world. Fake news is a fictional information madeup with the intension to delude and hence the knowledge acquired becomes of no use. As fake news spreads extensively it has a negative impact in the society and so fake news detection has become an emerging research area. The paper deals with a solution to fake news detection using the methods, deep learning and Natural Language Processing. The dataset is trained using deep neural network. The dataset needs to be well formatted before given to the network which is made possible using the technique of Natural Language Processing and thus predicts whether a news is fake or not.
Keywords: Deep Learning, Fake news, Long Short Term Memory, Natural language Processing.
Scope of the Article: Deep Learning