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

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 medi

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

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 medi

Research on Fair Trading Mechanism of Surplus Power Based on Blockchain

The development of blockchain technology is very rapidly. As a decentralized distributed technology, the blockchain has become one of the most promising Internet applications, and its application in the power balance trading platform has also received extensive attention. In view of the information asymmetry between the trading center and the margin trading users in the power balance trading platform, it is difficult to guarantee the fairness of the transaction and affect the actual income of the production consumers. First, we analyze the trading mechanism of the power surplus market.Then we designed a smart contract for multi-party bidding power resources based on blockchain technology, and achieved the decentralized power trading decision to ensure the information is symmetric and fair.At the same time, the credibility model is established by analyzing the user's recent transaction records, and we design a corresponding punishment mechanism to strengthen the constraint on the execution of offline point-to-point power transactions

Research on Fair Trading Mechanism of Surplus Power Based on Blockchain

The development of blockchain technology is very rapidly. As a decentralized distributed technology, the blockchain has become one of the most promising Internet applications, and its application in the power balance trading platform has also received extensive attention. In view of the information asymmetry between the trading center and the margin trading users in the power balance trading platform, it is difficult to guarantee the fairness of the transaction and affect the actual income of the production consumers. First, we analyze the trading mechanism of the power surplus market.Then we designed a smart contract for multi-party bidding power resources based on blockchain technology, and achieved the decentralized power trading decision to ensure the information is symmetric and fair.At the same time, the credibility model is established by analyzing the user's recent transaction records, and we design a corresponding punishment mechanism to strengthen the constraint on the execution of offline point-to-point power transactions