Fake News Detector in Online Social Media
R. Kanniga Devi
R. Kanniga Devi, Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Krishnankoil (Tamil Nadu), India.
Manuscript received on 23 November 2019 | Revised Manuscript received on 17 December 2019 | Manuscript Published on 30 December 2019 | PP: 58-60 | Volume-9 Issue-1S4 December 2019 | Retrieval Number: A10891291S419/19©BEIESP | DOI: 10.35940/ijeat.A1089.1291S419
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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: Spreading of fake news in online social media is a major nuisance to the public and there is no state of art tool to detect whether a news is a fake or an original one in an automated manner. Hence, this paper analyses the online social media and the news feeds for detection of fake news. The work proposes solution using Natural Language Processing and Deep Learning techniques for detecting the fake news in online social media.
Keywords: Convolutional Neural Network, Deep Learning, Fake News, Online Social Media, Natural Language Processing.
Scope of the Article: Social Networks