Skip to main content
SpringerLink
Log in

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

  • Conference paper
  • First Online:
Ubiquitous Security (UbiSec 2021)

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

Included in the following conference series:

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Social Media and The Need To Believe. https://www.forbes.com/sites/petersuciu/2019/11/11/social-media-and-the-need-to-believe/

  2. More than eight-in-ten Americans get news from digital devices. https://www.pewresearch.org/fact-tank/2021/01/12/more-than-eight-in-ten-americans-get-news-from-digital-devices/

  3. 2012 Ramu violence. https://en.wikipedia.org/wiki/2012_Ramu_violence/

  4. Bangladesh rampage over Facebook Koran image. https://www.bbc.com/news/world-asia-19780692

  5. 24 Buddhist and Hindu temples burnt in Bangladesh - India and UN urged to intervene. https://web.archive.org/web/20121004004231/. http://www.achrweb.org/press/2012/IND08-2012.html

  6. Police-protesters clash in Bhola over hate spread through Facebook ID: 4 Killed, 100 Injured. https://www.thedailystar.net/frontpage/clash-in-bhola-4-killed-100-injured-1816540

  7. Children being sacrificed, heads used for bridge project: social media rumour sparks spate of Bangladesh lynchings. https://www.straitstimes.com/asia/south-asia/children-being-sacrificed-heads-used-for-bridge-project-social-media-rumour-sparks

  8. Padma Bridge. https://en.wikipedia.org/wiki/Padma_Bridge

  9. Bangladesh: Fake news on Facebook fuels communal violence. https://www.dw.com/en/bangladesh-fake-news-on-facebook-fuels-communal-violence/a-51083787

  10. Naeem, S.B., Bhatti, R., Khan, A.: An exploration of how fake news is taking over social media and putting public health at risk. Health Inf. Libr. J. https://doi.org/10.1111/hir.12320

  11. Iran: Over 700 dead after drinking alcohol to cure coronavirus. https://www.aljazeera.com/news/2020/4/27/iran-over-700-dead-after-drinking-alcohol-to-cure-coronavirus

  12. A syndemic of COVID-19 and methanol poisoning in Iran: time for Iran to consider alcohol use as a public health challenge? https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7272173/

  13. Tee, W.J., Murugesan, R.K.: Trust network, blockchain and evolution in social media to build trust and prevent fake news. In: 2018 Fourth International Conference on Advances in Computing, Communication Automation (ICACCA), pp. 1–6 (2018). https://doi.org/10.1109/ICACCAF.2018.8776822

  14. Tee, W.J., Murugesan, R.K.: 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.) IRICT 2018. AISC, vol. 843, pp. 955–962. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-99007-1_88

    Chapter  Google Scholar 

  15. Qayyum, A., Qadir, J., Janjua, M., Vira, F.S.: Using blockchain to rein in the new post-truth world and check the spread of fake news. IT Prof. 21, 16–24 (2019). https://doi.org/10.1109/MITP.2019.2910503. LNCS

    Article  Google Scholar 

  16. Ochoa, I.S., de Mello, G., Silva, L.A., Gomes, A.J.P., Fernandes, A.M.R., Leithardt, V.R.Q.: FakeChain: a blockchain architecture to ensure trust in social media networks. In: Piattini, M., Rupino da Cunha, P., García Rodríguez de Guzmán, I., Pérez-Castillo, R. (eds.) QUATIC 2019. CCIS, vol. 1010, pp. 105–118. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-29238-6_8

    Chapter  Google Scholar 

  17. Paul, S., Joy, J., Sarker, S., Shakib, A., Ahmed, S., Das, A.: Fake news detection in social media using blockchain. In: 2019 7th International Conference on Smart Computing Communications (ICSCC), pp. 1–5 (2019). https://doi.org/10.1109/ICSCC.2019.8843597

  18. Al Omar, A., et al.: Towards a transparent and privacy-preserving healthcare platform with blockchain for smart cities. In: 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). IEEE (2020)

    Google Scholar 

  19. Vedova, M.L.D., Tacchini, E., Moret, S., Ballarin, G., DiPierro, M., Alfaro, L.D.: Automatic online fake news detection combining content and social signals. In: 2018 22nd Conference of Open Innovations Association (FRUCT), pp. 272–279 (2018). https://doi.org/10.23919/FRUCT.2018.8468301

  20. Granik, M., Mesyura, V.: Fake news detection using naive Bayes classifier. In: 2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON), pp. 900–903 (2017). https://doi.org/10.1109/UKRCON.2017.8100379

  21. Reis, J.C.S., Correia, A., Murai, F., Veloso, A., Benevenuto, F.: Supervised learning for fake news detection. IEEE Intell. Syst. 34(2), 76–81 (2019). https://doi.org/10.1109/MIS.2019.2899143

    Article  Google Scholar 

  22. Al Omar, A., et al.: A transparent and privacy-preserving healthcare platform with novel smart contract for smart cities. IEEE Access 9, 90738–90749 (2021)

    Article  Google Scholar 

  23. Bosri, R., Rahman, M.S., et al.: Integrating blockchain with artificial intelligence for privacy-preserving recommender systems. IEEE Trans. Netw. Sci. Eng. 8(2), 1009–1018 (2020). https://doi.org/10.1109/TNSE.2020.3031179

    Article  MathSciNet  Google Scholar 

  24. Omar, A.A., Bosri, R., Rahman, M.S., Begum, N., Bhuiyan, M.Z.A.: Towards privacy-preserving recommender system with blockchains. In: Wang, G., Bhuiyan, M.Z.A., De Capitani di Vimercati, S., Ren, Y. (eds.) DependSys 2019. CCIS, vol. 1123, pp. 106–118. Springer, Singapore (2019). https://doi.org/10.1007/978-981-15-1304-6_9

    Chapter  Google Scholar 

  25. Bosri, R., Uzzal, A.R., et al.: HIDEchain: a user-centric secure edge computing architecture for healthcare IoT devices. In: IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (2020). https://doi.org/10.1109/INFOCOMWKSHPS50562.2020.9162729

  26. Bosri, R., Uzzal, A.R., et al.: Towards a privacy-preserving voting system through blockchain technologies. In: 2019 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), pp. 602–608. IEEE (2019). https://doi.org/10.1109/DASC/PiCom/CBDCom/CyberSciTech.2019.00116

Download references

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
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Abu Kaisar Jamil
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mohammad Shahriar Rahman
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Hanif Bhuiyan
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Md Zakirul Alam Bhuiyan
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Abdullah Al Omar
    View author publications

    You can also search for this author in PubMed Google Scholar

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

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

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

Download citation

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

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-0467-7

  • Online ISBN: 978-981-19-0468-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation