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A Theoretical Framework to Build Trust and Prevent Fake News in Social Media Using Blockchain

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Recent Trends in Data Science and Soft Computing (IRICT 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 843))

Abstract

This study aims to provide an insight of implementing blockchain technology on social media to build public trust on credible news spread via major social media platforms in order to determine the truthfulness of source, and prevent spread of fake news. This research uses blockchain technology with advanced AI in social media platforms to verify news content for its credibility. This study provides high impact preventing negative impacts on individuals, society, and the world that is becoming rampant today.

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Author information

Authors and Affiliations

  1. School of Computing and IT, Taylor’s University, Subang Jaya, Malaysia

    Tee Wee Jing & Raja Kumar Murugesan

Authors
  1. Tee Wee Jing
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  2. Raja Kumar Murugesan
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Corresponding author

Correspondence to Raja Kumar Murugesan .

Editor information

Editors and Affiliations

  1. College of Computer Science and Engineering, Taibah University, Medina, Saudi Arabia

    Faisal Saeed

  2. Information Systems Department, Faculty of Computing, Universiti Teknologi Malaysia, Skudai, Malaysia

    Nadhmi Gazem

  3. Information Technology Department, Faculty of Engineering and Information Technology, Taiz University, Taiz, Yemen

    Fathey Mohammed

  4. Information Systems Department, Faculty of Computing, Universiti Teknologi Malaysia, Skudai, Malaysia

    Abdelsalam Busalim

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Cite this paper

Jing, T.W., Murugesan, R.K. (2019). A Theoretical Framework to Build Trust and Prevent Fake News in Social Media Using Blockchain. In: Saeed, F., Gazem, N., Mohammed, F., Busalim, A. (eds) Recent Trends in Data Science and Soft Computing. IRICT 2018. Advances in Intelligent Systems and Computing, vol 843. Springer, Cham. https://doi.org/10.1007/978-3-319-99007-1_88

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