Literature DB >> 32517050

Modeling Public Opinion Reversal Process with the Considerations of External Intervention Information and Individual Internal Characteristics.

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

Abstract

With the rapid development of "we media" technology, external information about the same sudden hot social event is often involved repetitiously, leading to frequent public opinion reversal. However, the phenomenon of public opinion reversal process usually has a long-lasting duration and spreads wide, making the event itself attract the widespread attention of ordinary people. Focusing on the public opinion reversal process of sudden social hot topic (a popular and widely discussed issue), this paper firstly identifies the internal and external factors that affect the reversal, namely individual internal characteristics and external intervention information. Secondly, information intensity and the amount of information perceived by individuals are introduced to describe the impact of external intervention information on the public opinion reversal. Thirdly, the parameters of individual attention and conservation are used to describe the process of individual's selection of external information, so as to reveal the influence of the internal characteristics on public opinion reversal, and then build a public opinion reversal model. Fourthly, the effects of information intensity and individual attention, as well as individual conservation on the process of public opinion reversal are analyzed by simulation experiment. Simulation results show that: (1) the intensity of external intervention information affects the direction and degree of public opinion reversal; (2) when individual conservation is strong or individual attention is weak, even if external intervention information is strong, there will still be no obvious reversal of public opinion. Subsequently, the rationality and effectiveness of the proposed model are verified by a real case. Finally, some recommendations and policy implications are also given.

Entities:  

Keywords:  external intervention information; individual internal characteristics.; public opinion polarization; public opinion reversal

Year:  2020        PMID: 32517050     DOI: 10.3390/healthcare8020160

Source DB:  PubMed          Journal:  Healthcare (Basel)        ISSN: 2227-9032


  9 in total

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2.  A Policy Category Analysis Model for Tourism Promotion in China During the COVID-19 Pandemic Based on Data Mining and Binary Regression.

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Journal:  Risk Manag Healthc Policy       Date:  2020-12-31

3.  Based on Computational Communication Paradigm: Simulation of Public Opinion Communication Process of Panic Buying During the COVID-19 Pandemic.

Authors:  Qianqian Li; Tinggui Chen; Jianjun Yang; Guodong Cong
Journal:  Psychol Res Behav Manag       Date:  2020-11-20

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

Authors:  Tinggui Chen; Yulong Wang; Jianjun Yang; Guodong Cong
Journal:  Int J Environ Res Public Health       Date:  2021-01-08       Impact factor: 3.390

5.  Combining Public Opinion Dissemination with Polarization Process Considering Individual Heterogeneity.

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Journal:  Healthcare (Basel)       Date:  2021-02-07

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

Authors:  Tinggui Chen; Lijuan Peng; Jianjun Yang; Guodong Cong
Journal:  Concurr Comput       Date:  2021-01-23       Impact factor: 1.831

7.  Range dependent expected utility theory based model for NIMBY conflicts in China: An evolutionary game analysis.

Authors:  Hui Zhao; Weihan Wang; Mengran Zhang
Journal:  PLoS One       Date:  2022-07-12       Impact factor: 3.752

8.  Path Optimization of Medical Waste Transport Routes in the Emergent Public Health Event of COVID-19: A Hybrid Optimization Algorithm Based on the Immune-Ant Colony Algorithm.

Authors:  Ziyuan Liu; Zhi Li; Weiming Chen; Yunpu Zhao; Hanxun Yue; Zhenzhen Wu
Journal:  Int J Environ Res Public Health       Date:  2020-08-12       Impact factor: 3.390

9.  Modeling Network Public Opinion Propagation with the Consideration of Individual Emotions.

Authors:  Peihua Fu; Bailu Jing; Tinggui Chen; Jianjun Yang; Guodong Cong
Journal:  Int J Environ Res Public Health       Date:  2020-09-14       Impact factor: 3.390

  9 in total

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