考虑信息茧房现象的网络舆情演化研究  

The Evolution of Network Public Opinion Considering Information Cocoons

作　　者：戴建华[1] 韩孟昊 Dai Jianhua

机构地区：[1]南京理工大学经济管理学院,江苏南京210094

出　　处：《情报理论与实践》2023年第6期111-117,共7页Information Studies:Theory & Application

基　　金：国家自然科学基金项目“突发事件网民负面情感的模型检测研究”的成果,项目编号:71774084。

摘　　要：[目的/意义]推荐算法等技术的迅速发展,使得网民群体中更容易形成信息茧房现象,并由此导致群体极化、网络巴尔干化的发生,增大了舆情危机发生的风险。在网络舆情研究中考虑信息茧房现象对舆情的治理尤为重要。[方法/过程]论文以经典传染病模型为基础,结合信息茧房理论与意见动力学,建立舆情传播的动态演化模型,并使用BA无标度网络对模型进行模拟仿真。[结果/结论]仿真结果验证了模型的有效性,分析了用户初始意见分布、意见融合阈值对各群体密度的影响,以及后续刺激、舆情波动等因素对舆情演化的影响,为网络舆情的演化研究提供了新的理论视角,并为政府更好地管控网络舆情提供参考。[Purpose/significance]The rapid development of recommendation algorithms and other technologies makes it easier to form information cocoons among netizens,which leads to group polarization and cyber-balkanization,and increases the risk of public opinion crisis.It is particularly important to consider the phenomenon of“Information Cocoons”in the research of online public opinion for the governance of public opinion.[Method/process]Based on the classical infectious disease model,combined with the information cocoons theory and opinion dynamics,the paper establishes a dynamic evolution model of public opinion communication,and uses the BA scale-free network to simulate the model.[Result/conclusion]The simulation results verify the effectiveness of the model,and analyze the impact of initial user opinion distribution and opinion fusion threshold on the density of each group,as well as the impact of subsequent stimuli,public opinion fluctuations and other factors on the evolution of public opinion.The research of this paper provides a new theoretical perspective for the evolution of online public opinion,and provides a reference for the government to better control online public opinion.

关 键 词：舆情演化 信息茧房 意见动力学 病毒动力学模型 

分 类 号：G206[文化科学—传播学] C912.63[经济管理]