Literature DB >> 33430091

Modeling Multidimensional Public Opinion Polarization Process under the Context of Derived Topics.

Tinggui Chen1,2, Yulong Wang2, Jianjun Yang3, Guodong Cong4.   

Abstract

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.

Entities:  

Keywords:  external intervention information; multi-dimensional public opinion polarization; topic correlation coefficient; topic derivation

Year:  2021        PMID: 33430091      PMCID: PMC7826538          DOI: 10.3390/ijerph18020472

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  9 in total

1.  Universal behavior of load distribution in scale-free networks.

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2.  Estimation of a correlation coefficient from an uncertainty measure.

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Authors:  Sebastian M Krause; Fritz Weyhausen-Brinkmann; Stefan Bornholdt
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8.  Modeling Public Opinion Reversal Process with the Considerations of External Intervention Information and Individual Internal Characteristics.

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  9 in total
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2.  Combining Public Opinion Dissemination with Polarization Process Considering Individual Heterogeneity.

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3.  Modeling, simulation, and case analysis of COVID-19 over network public opinion formation with individual internal factors and external information characteristics.

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4.  The Impact of COVID-19 on Consumers' Psychological Behavior Based on Data Mining for Online User Comments in the Catering Industry in China.

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