Fake News Detection using Deep Learning

  • R* V
  • et al.
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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.

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R*, V., & S, A. K. (2020). Fake News Detection using Deep Learning. International Journal of Innovative Technology and Exploring Engineering, 9(9), 226–228. https://doi.org/10.35940/ijitee.i7059.079920

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