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Trust-based Ecosystem to Empowering Users to Combat Fake News

School of Computing

Dr Z Jaroucheh , , Applications accepted all year round Self-Funded PhD Students Only

About the Project

The growing spread of misinformation and dis-information has grave political, social, ethical, and privacy implications for society. Therefore, there is an ethical need to combat the flow of fake news. On the other hand, blockchain and the distributed ledger technologies hold significantly more potential than just money payment systems. Blockchain removes the need for a trusted intermediary as the trust is created using encryption. Trust within a decentralised system is created through game-theoretical incentives and cryptography. The aim of this project is to explore the potential for the blockchain and ledger technologies in creating a new trust-based approach/framework for resolving some of the aspects of this combat to help news creators getting their news backed by the community, and to help users to judge on the credibility and correctness of this news.

Academic qualifications
A first degree (at least a 2.1) ideally in a subject that has included information science and/or (cyber) security with a good fundamental knowledge of information systems.

English language requirement
IELTS score must be at least 6.5 (with not less than 6.0 in each of the four components). Other, equivalent qualifications will be accepted.

Essential attributes:
• Experience of fundamental in topics related to information science
• Competent in qualitative research
• Knowledge of information behaviour, data protection, information security
• Good written and oral communication skills
• Strong motivation, with evidence of independent research skills relevant to the project
• Good time management

Desirable attributes:
Strong motivation. An ability to work with a range of people (including researchers and practitioners) across different disciplines.

Funding Notes

This is a self-funded position


[1] Zakwan Jaroucheh, Mohamad Alissa, William J Buchanan, “Trust-based Ecosystem to Combat Fake News” IEEE International Conference on Blockchain and Cryptocurrency 2020.
[2] T. Zubair, A. Raquib, and J. Qadir, “On combating fake news, misinformation, and machine learning generated fakes: Insights from the islamic ethical tradition,” 10 2019.
[3] E. Syta, I. Tamas, D. Visher, D. I. Wolinsky, P. Jovanovic, L. Gasser,N. Gailly, I. Khoffi, and B. Ford, “Keeping authorities" honest or bust"with decentralized witness cosigning,” in2016 IEEE Symposium on Security and Privacy (SP). IEEE, 2016, pp. 526–545.
[4] V. S. S. D. L. Gulizar Haciyakupoglu, Jennifer Yang Hui and M. F. B. A.Rahman, “Countering fake news: A survey of recent global initiatives,”2018.
[5] A. Guess, J. Nagler, and J. Tucker, “Less than you think: Prevalence and predictors of fake news dissemination on facebook,”Science Advances, vol. 5, p. eaau4586, 01 2019.
[6] X. Zhou and R. Zafarani, “Fake news: A survey of research, detection methods, and opportunities,” vol. 1, no. 1, 2018.
[7] W. Shang, M. Liu, W. Lin, and M. Jia, “Tracing the source of news based on blockchain,” 06 2018, pp. 377–381.

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