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Social trust-based blockchain-enabled social media news verification system

Sari, Riri Fitri ORCID:, Ilmananda, Asri Samsiar ORCID: and Romano, Daniela M. ORCID: (2021) Social trust-based blockchain-enabled social media news verification system. journal of Universal Computer Science, 27 (09). pp. 979-998.

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In the current digital era, information exchanges can be done easily through the
Internet and social media. However, the actual truth of the news on social media platforms is
hard to prove, and social media platforms are susceptible to the spreading of hoaxes. As a remedy,
Blockchain technology can be used to ensure the reliability of shared information and can create
a trusted communications environment. In this study, we propose a social media news spreading
model by adapting an epidemic methodology and a scale-free network. A Blockchain-based news
verification system is implemented to identify the credibility of the news and its sources. The
effectiveness of the model is investigated by utilizing agent-based modelling using NetLogo
software. In the simulations, fake news with a truth level of 20% are assigned a low News
Credibility Indicator (NCI ± -0.637) value for all of the different network dimensions. Moreover,
the Producer Reputation Credit is also decreased (PRC ± 0.213) so that the trust factor value is
reduced. Our epidemic approach for news verification has also been implemented using
Ethereum Smart Contract and several tools such as React with Solidity, IPFS, Web3.js, and
Metamask. By showing the measurements of the credibility indicator and reputation credit to the
user during the news dissemination process, this proposed smart contract can effectively limit
user behaviour in spreading fake news and improve the content quality on social media

Item Type: Article
Additional Information: Nama : Asri Samsiar Ilmananda NIDN : 711128804
Uncontrolled Keywords: Social media, Blockchain, smart contract, epidemic model, scale-free networks, agent-based modelling
Divisions: Fakultas Teknologi Informasi > S1 Sistem Informasi
Depositing User: Surya Dannie
Date Deposited: 02 Feb 2023 05:31
Last Modified: 02 Feb 2023 05:31

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