Chen Yuetong, Liu Fengming
Business School, Shandong Normal University, Ji'nan 250358, China.
Peer Peer Netw Appl. 2022;15(4):1849-1861. doi: 10.1007/s12083-022-01320-9. Epub 2022 May 2.
With the increasingly complex social situation, the problems of traditional online public opinion governance are increasingly serious. Especially the problem of transmission efficiency, public opinion data management and user information security of Internet users is urgently needed. Here, we design a functional infrastructure framework of the network public opinion collaborative governance model based on the blockchain with strong practicality and comprehensiveness. In order to reach the consensus mechanism requirements under the framework, the algorithm is improved on the basis of the defects of the traditional DPoS consensus algorithm. Considering time dynamic factors in the process of reaching consensus, the paper proposes a reputation-based voting model. Furthermore, the paper purposes a rewards and punishments incentive mechanism, and also designs a new method of counting votes. From the simulation results, it was found that after the improvement of the algorithm, the enthusiasm of node participation was significantly increased, the proportion of error nodes was significantly reduced, and the operating efficiency was significantly improved. It shows that the improved consensus algorithm we propose applies to public opinion governance can not only improve the security of the system with the reduce of false public opinion spreading, but also improve the efficiency of information processing, so it can be well applied to information sharing and public opinion governance scenarios.
随着社会形势日益复杂，传统网络舆论治理问题愈发严重。尤其是互联网用户的舆论传播效率、舆论数据管理以及用户信息安全问题亟待解决。在此，我们设计了一种基于区块链的网络舆论协同治理模型的功能基础设施框架，该框架具有很强的实用性和全面性。为满足框架下的共识机制要求，在传统DPoS共识算法缺陷的基础上对算法进行了改进。考虑到共识达成过程中的时间动态因素，本文提出了一种基于声誉的投票模型。此外，本文提出了奖惩激励机制，还设计了一种新的计票方法。从仿真结果来看，发现算法改进后，节点参与积极性显著提高，错误节点比例显著降低，运行效率显著提升。这表明我们提出的改进后的适用于舆论治理的共识算法不仅可以随着虚假舆论传播的减少提高系统安全性，还能提高信息处理效率，因此可以很好地应用于信息共享和舆论治理场景。
