School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China.
School of Management and E-Business, Zhejiang Gongshang University, Hangzhou 310018, China.
Int J Environ Res Public Health. 2021 Jan 8;18(2):472. doi: 10.3390/ijerph18020472.
With the development of Internet technology, the speed of information dissemination and accelerated updates result in frequent discussion of topics and expressions of public opinion. In general, multi-dimensional discussion topics related to the same event are often generated in the network, and the phenomenon of multi-dimensional public opinion polarization is formed under the mutual influence of groups. This paper targets the phenomenon of multi-dimensional public opinion polarization under topic-derived situations as the research object. Firstly, this paper identifies the factors influencing multi-dimensional public opinion polarization, including the mutual influence of different topic dimensions and the interaction of viewpoints within the same topic. Secondly, the topic correlation coefficient is introduced to describe the correlation among topics in different dimensions, and the individual topic support degree is used to measure the influence of topics in different dimensions and that of information from external intervention on individual attitudes. Thirdly, a multi-dimensional public opinion polarization model is constructed by further integrating multi-dimensional attitude interaction rules. Finally, the influence of individual participation, topic status, topic correlation coefficient and external intervention information on the multi-dimensional public opinion polarization process is analyzed through simulation experiments. The simulation results show that:(1) when there is a negative correlation between multi-dimensional topics, as the number of participants on different dimensional topics becomes more consistent, the conflict between multi-dimensional topics will weaken the polarization effect of overall public opinion. However, the effect of public opinion polarization will be enhanced alongwith the enhancement in the confidence of individual opinions. (2) The intervention of external intervention information in different dimensions at different times will further form a multi-dimensional and multi-stage public opinion polarization, and when the multi-dimensional topics are negatively correlated, the intervention of external intervention information will have a stronger impact on the multi-dimensional and multi-stage public opinion polarization process. Finally, the rationality and validity of the proposed model are verified by a real case.
随着互联网技术的发展，信息传播的速度加快，更新频率加快，导致话题频繁讨论，舆论表达活跃。一般来说，同一事件相关的多维讨论话题往往会在网络中生成，群体之间相互影响，形成多维舆论极化现象。本文以话题衍生情境下的多维舆论极化现象为研究对象。首先，识别出影响多维舆论极化的因素，包括不同话题维度之间的相互影响以及同一话题内部观点之间的相互作用。其次，引入话题相关系数来描述不同维度话题之间的相关性，使用个体话题支持度来衡量不同维度话题以及外部干预信息对个体态度的影响。然后，进一步整合多维态度交互规则构建多维舆论极化模型。最后，通过仿真实验分析个体参与度、话题状态、话题相关系数和外部干预信息对多维舆论极化过程的影响。仿真结果表明：（1）当多维话题之间存在负相关时，随着不同维度话题上参与者数量的一致性增加，多维话题之间的冲突会削弱整体舆论的极化效应。然而，随着个体意见信心的增强，舆论极化效应会增强。（2）不同时间在不同维度上干预外部干预信息会进一步形成多维多阶段舆论极化，当多维话题负相关时，外部干预信息的干预会对多维多阶段舆论极化过程产生更强的影响。最后，通过真实案例验证了所提出模型的合理性和有效性。
