基于区块链的网络谣言甄别模型及仿真研究

doi:10.3772/j.issn.1000-0135.2021.02.009

情报学报

2021, Vol. 40

Issue (2): 194-203 DOI: 10.3772/j.issn.1000-0135.2021.02.009

情报分析方法与技术

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基于区块链的网络谣言甄别模型及仿真研究

王晰巍^1,2,3, 张柳¹, 黄博⁴, 韦雅楠¹

1.吉林大学管理学院，长春 130022
2.吉林大学大数据管理研究中心，长春 130022
3.吉林大学国家发展与安全研究院，长春 130022
4.吉林大学计算机科学与技术学院，长春 130022

Study on Detection Model and Simulation of Internet Rumor Based on Blockchain

Wang Xiwei^1,2,3, Zhang Liu¹, Huang Bo⁴, Wei Yanan¹

1.School of Management, Jilin University, Changchun 130022
2.Research Center for Big Data Management, Jilin University, Changchun 130022
3.National Institute of Development and Security, Jilin University, Changchun 130022
4.School of Computer Science and Technology, Jilin University, Changchun 130022

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摘要通过构建区块链网络谣言甄别模型，形成网络谣言自净和可追溯机制，为舆情监管部门利用区块链技术进行网络谣言治理和舆情引导起到一定的推动作用。基于区块链技术和UML图形，在对区块链属性和工作方法进行分析的基础上提出前提假设，从舆情爆发期和区块链审核、舆情发酵期和区块链过滤、舆情扩散三个阶段构建网络谣言甄别模型，并结合“塑料大米”这一网络谣言进行仿真实验，对区块链的网络谣言甄别模型的有效性进行验证。仿真结果表明，区块链的网络谣言甄别模型可以保证舆情信息传播的安全性和可追溯性，可净化网络谣言和保证舆情信息完整性。构建的甄别模型相似度函数是一个相对粗糙的方法，没有考虑信息存储的上限，由于挖矿难度的不断累积，哈希值的计算过程是一个非常耗时的任务。

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	王晰巍
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关键词 ：区块链, 网络谣言, 甄别模型, 仿真

收稿日期: 2019-12-17

基金资助:国家社会科学基金重大项目“大数据驱动的社交网络舆情主题图谱构建及调控策略研究”（18ZDA310）。

作者简介: 王晰巍，女，1975年生，教授，博士生导师，主要研究方向为社交媒体网络舆情、知识图谱和用户信息行为，E-mail: wxw_mail@163.com；张柳，女，1992年生，博士研究生，主要研究方向为网络舆情；黄博，男，1990年生，博士研究生，主要研究方向为深度学习；韦雅楠，女，1980年生，博士研究生，主要研究方向为用户信息行；

引用本文:

王晰巍, 张柳, 黄博, 韦雅楠. 基于区块链的网络谣言甄别模型及仿真研究[J]. 情报学报, 2021, 40(2): 194-203.
Wang Xiwei, Zhang Liu, Huang Bo, Wei Yanan. Study on Detection Model and Simulation of Internet Rumor Based on Blockchain. 情报学报, 2021, 40(2): 194-203.

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https://qbxb.istic.ac.cn/CN/10.3772/j.issn.1000-0135.2021.02.009 或 https://qbxb.istic.ac.cn/CN/Y2021/V40/I2/194

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