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Towards a Location-Aware Blockchain-Based Solution to Distinguish Fake News in Social Media

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Ubiquitous Security (UbiSec 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1557))

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Abstract

Nowadays, social media is the main source of all global and local news in this generation. But the propagation of fake news and misleading information through social media has become a major concern. Fake news and misleading information often cause crucial damage to human life and society. Moreover, social media has become a source of news, views, and facts for its user. Through social media, a piece of news or information can reach every corner of the world within seconds. It is quite hard for a general social media user to distinguish fake news from real one. Even sometimes social media users cannot distinguish the fake news while residing in the same location of that real news. Hence, in this paper, we have proposed a location-aware blockchain-based news validation system that can be integrated with social media in order to distinguish fake news and misleading information from real ones.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, University of Asia Pacific, Dhaka, Bangladesh

    Wahid Sadique Koly, Abu Kaisar Jamil & Abdullah Al Omar

  2. United International University, Dhaka, Bangladesh

    Mohammad Shahriar Rahman

  3. Data61, CSIRO, Canberra, Australia

    Hanif Bhuiyan

  4. Department of Computer and Information Sciences, Fordham University, New York, NY, 10458, USA

    Md Zakirul Alam Bhuiyan

Authors
  1. Wahid Sadique Koly
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  2. Abu Kaisar Jamil
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  3. Mohammad Shahriar Rahman
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  4. Hanif Bhuiyan
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  5. Md Zakirul Alam Bhuiyan
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  6. Abdullah Al Omar
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Editor information

Editors and Affiliations

  1. Guangzhou University, Guangzhou, China

    Guojun Wang

  2. University of Texas at San Antonio, San Antonio, TX, USA

    Kim-Kwang Raymond Choo

  3. University of Queensland, Brisbane, QLD, Australia

    Ryan K. L. Ko

  4. Hunan University, Changsha, China

    Yang Xu

  5. University of Trento, Trento, Italy

    Bruno Crispo

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Koly, W.S., Jamil, A.K., Rahman, M.S., Bhuiyan, H., Bhuiyan, M.Z.A., Al Omar, A. (2022). Towards a Location-Aware Blockchain-Based Solution to Distinguish Fake News in Social Media. In: Wang, G., Choo, KK.R., Ko, R.K.L., Xu, Y., Crispo, B. (eds) Ubiquitous Security. UbiSec 2021. Communications in Computer and Information Science, vol 1557. Springer, Singapore. https://doi.org/10.1007/978-981-19-0468-4_9

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  • DOI: https://doi.org/10.1007/978-981-19-0468-4_9

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  • Print ISBN: 978-981-19-0467-7

  • Online ISBN: 978-981-19-0468-4

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