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Progress in Computing, Analytics and Networking pp 447–455Cite as

An NLP-Based Cryptosystem to Control Spread of Fake News Through Social-Media

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1119))

Abstract

The era of digitalization has seen a transition from traditional methods of providing services to digital means. The advancement of technological innovations has not only impacted the human lifestyle but also has aided the growth of various social channels for people to communicate with one another. But the rise of social media platforms has also led to the spread of fake news. Fake news spread fast and can affect the brand image of various product/service-based organizations. To reduce the effect of fake news, we have proposed a method to temporarily encrypt the message sent from a consumer using the company’s tag for a fixed time, say, 1 day, in Twitter, hence giving the company the time to respond to the concerns raised by the customer. Once the response is received, or the stipulated time ends, the message will be made visible to the public automatically.

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Acknowledgements

We would like to thank the authors whose papers we have cited for helping us with the idea of the proposed model. I would also like to thank Twitter and Snapdeal whose data we have used for our study.

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Authors and Affiliations

  1. Information Systems Area, Indian Institute of Management Ranchi, Ranchi, India

    Arghya Ray & Pradip Kumar Bala

Authors
  1. Arghya Ray
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  2. Pradip Kumar Bala
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Corresponding author

Correspondence to Arghya Ray .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India

    Himansu Das

  2. School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India

    Prasant Kumar Pattnaik

  3. School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India

    Siddharth Swarup Rautaray

  4. Department of Computer Science and Information Engineering (CSIE), Providence University, Taichung, Taiwan

    Kuan-Ching Li

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Ray, A., Bala, P.K. (2020). An NLP-Based Cryptosystem to Control Spread of Fake News Through Social-Media. In: Das, H., Pattnaik, P., Rautaray, S., Li, KC. (eds) Progress in Computing, Analytics and Networking. Advances in Intelligent Systems and Computing, vol 1119. Springer, Singapore. https://doi.org/10.1007/978-981-15-2414-1_44

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