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A Statistical Analysis of Various Technologies to Detect and Prevent Fake News

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Data Science and Analytics (REDSET 2019)

Abstract

In today’s life social media has special importance in almost everyone’s life and it is being used as a great way to manipulate people’s mind using fake news and fake articles. The topic of fake news came into vision as a serious issue in coming years. To detect and prevent fake news many technologies like blockchain, machine learning, deep learning and natural language processing have been used. This survey paper tells about novel way to compare various technologies of fake news detection and prevention from social media.

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Correspondence to Shakti Vishwakarma .

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Singh, S., Vishwakarma, S., Kispotta, S., Yadav, A. (2020). A Statistical Analysis of Various Technologies to Detect and Prevent Fake News. In: Batra, U., Roy, N., Panda, B. (eds) Data Science and Analytics. REDSET 2019. Communications in Computer and Information Science, vol 1230. Springer, Singapore. https://doi.org/10.1007/978-981-15-5830-6_15

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  • DOI: https://doi.org/10.1007/978-981-15-5830-6_15

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-5829-0

  • Online ISBN: 978-981-15-5830-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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