基于区块链的网络谣言甄别模型及仿真研究

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

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。

By constructing the blockchain of the internet rumor detection model,the self-purification and traceable mechanism of internet rumor can be formed,which plays a certain role in promoting the public opinion supervision department to use the blockchain technology to govern internet rumor and guide public opinion.Based on blockchain technology and Unified Modeling Language graph,the premise of this study is based on the analysis of blockchain properties and working method,from the outbreak period of public opinion and audit of blockchain,the fermentation period of public opinion and filter of blockchain,the proliferation of public opinion to build the detection model of internet rumor,and combined with the Internet rumors“plastic rice”simulation experiment,to verify the validity of the detection model of internet rumor for blockchain.The simulation results indicated that the blockchain of the detection model of internet rumor can ensure the security and traceability of public opinion information transmission,purify the internet rumor,and ensure the integrity of public opinion information.The similarity function of the discrimination model is a relatively approximate method,which does not consider the upper limit of information storage.Thus,due to the continuous accumulation of mining difficulty,the calculation process of the hash value can be time-consuming.