Online public opinion dissemination model and simulation under media intervention from different perspectives
This study investigates the influence of different media interventions on the dissemination of online public opinion, analyzes its laws, and provides a theoretical basis for the control of relevant departments. This study adds the influence of network media and government media on susceptible-expose...
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Published in | Chaos, solitons and fractals Vol. 166; p. 112959 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
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Elsevier Ltd
01.01.2023
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Abstract | This study investigates the influence of different media interventions on the dissemination of online public opinion, analyzes its laws, and provides a theoretical basis for the control of relevant departments. This study adds the influence of network media and government media on susceptible-exposed-infectious-removed (SEIR) model and considers the interaction between different emotions to construct the susceptible-exposed-positive-emotional-infectious-and-negative-emotional-infectious-immune-removed (SEI2R1R2) online public opinion dissemination model under such dual intervention of network media and government media. The opinion propagation model is simulated in Python and the model is validated by mining text sentiment using text convolutional neural networks (CNN) to fit relevant parameters. Results show that the SEI2R1R2 online public opinion dissemination model is more consistent with reality. With the role of media from different perspectives, identifying and controlling emotional communicators and increasing the probability of converting positive and negative emotional communicators into quitters can effectively reduce the number of communicators, and thus control the spread of public opinion.
•Studying the influence of media intervention from different perspectives on online public opinion dissemination•Constructing online public opinion dissemination model under the dual role of network media and government media•Simulating the influence of network media and government media on the dissemination process of public opinion |
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AbstractList | This study investigates the influence of different media interventions on the dissemination of online public opinion, analyzes its laws, and provides a theoretical basis for the control of relevant departments. This study adds the influence of network media and government media on susceptible-exposed-infectious-removed (SEIR) model and considers the interaction between different emotions to construct the susceptible-exposed-positive-emotional-infectious-and-negative-emotional-infectious-immune-removed (SEI2R1R2) online public opinion dissemination model under such dual intervention of network media and government media. The opinion propagation model is simulated in Python and the model is validated by mining text sentiment using text convolutional neural networks (CNN) to fit relevant parameters. Results show that the SEI2R1R2 online public opinion dissemination model is more consistent with reality. With the role of media from different perspectives, identifying and controlling emotional communicators and increasing the probability of converting positive and negative emotional communicators into quitters can effectively reduce the number of communicators, and thus control the spread of public opinion.
•Studying the influence of media intervention from different perspectives on online public opinion dissemination•Constructing online public opinion dissemination model under the dual role of network media and government media•Simulating the influence of network media and government media on the dissemination process of public opinion |
ArticleNumber | 112959 |
Author | Geng, Lisha Qiao, Gaigai Zheng, Hongye Geng, Lixiao Wang, Ke |
Author_xml | – sequence: 1 givenname: Lixiao surname: Geng fullname: Geng, Lixiao email: lixgeng@hebut.edu.cn organization: School of Economics and Management, Hebei University of Technology, Tianjin 300401, China – sequence: 2 givenname: Hongye surname: Zheng fullname: Zheng, Hongye organization: School of Economics and Management, Hebei University of Technology, Tianjin 300401, China – sequence: 3 givenname: Gaigai surname: Qiao fullname: Qiao, Gaigai organization: School of Economics and Management, Hebei University of Technology, Tianjin 300401, China – sequence: 4 givenname: Lisha surname: Geng fullname: Geng, Lisha organization: School of Business and Administration, Hebei University of Economics and Business, Shijiazhuang 050061, China – sequence: 5 givenname: Ke surname: Wang fullname: Wang, Ke organization: School of Economics and Management, Hebei University of Technology, Tianjin 300401, China |
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Cites_doi | 10.1016/j.physa.2017.04.162 10.1109/MIS.2016.31 10.1016/S0025-5564(02)00108-6 10.1016/j.physa.2012.09.030 10.1016/j.physa.2013.10.003 10.1093/nsr/nwac035 10.1016/j.ipm.2019.102177 10.1016/j.jclepro.2016.11.184 |
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with the consideration of the government intervention publication-title: J Manag Sci China contributor: fullname: Wang – volume: 57 issue: 2 year: 2020 ident: 10.1016/j.chaos.2022.112959_bb0045 article-title: Temporal and spatial evolution of online public sentiment on emergencies publication-title: Inf Process Manag doi: 10.1016/j.ipm.2019.102177 contributor: fullname: Li – volume: 31 start-page: 2140 issue: 11 year: 2011 ident: 10.1016/j.chaos.2022.112959_bb0055 article-title: Dissemination and control model of internet public opinion in the ubiquitous media environments publication-title: SystEngTheoryPract contributor: fullname: Chen – volume: 33 start-page: 1950393 issue: 32 year: 2019 ident: 10.1016/j.chaos.2022.112959_bb0070 article-title: Network public opinion propagation model based on the influence of media and interpersonal communication publication-title: IntJModPhysB contributor: fullname: Zhang – year: 2019 ident: 10.1016/j.chaos.2022.112959_bb0095 article-title: The neurosymbolic concept learner: interpreting scenes, words, and sentences from natural supervision contributor: fullname: Mao – volume: 11 start-page: 60 year: 2015 ident: 10.1016/j.chaos.2022.112959_bb0065 article-title: Study on the internet public opinion dissemination model with discussion under the effect of media publication-title: New TechnolLibrInfServ contributor: fullname: Zhang – volume: 41 start-page: 104 issue: 05 year: 2018 ident: 10.1016/j.chaos.2022.112959_bb0035 article-title: Public opinion dissemination and control of serious emergencies: based on epidemic model publication-title: InfStudTheoryApplic contributor: fullname: Zhong – volume: 67 start-page: 121 year: 2014 ident: 10.1016/j.chaos.2022.112959_bb0015 article-title: Isolation, insertion, and reconstruction: three strategies to intervene in rumor spread based on supernetwork model publication-title: DecisSupportSyst contributor: fullname: Tian – volume: 250 start-page: 3772 issue: 9 year: 2011 ident: 10.1016/j.chaos.2022.112959_bb0120 article-title: Global stability of the endemic equilibrium in infinite dimension: Lyapunov functions and positive operators publication-title: JDifferEqu contributor: fullname: Thieme – volume: 143 start-page: 1203 year: 2017 ident: 10.1016/j.chaos.2022.112959_bb0010 article-title: What can mass media do to control public panic in accidents of hazardous chemical leakage into rivers? A multi-agent-based online opinion dissemination model publication-title: J Clean Prod doi: 10.1016/j.jclepro.2016.11.184 contributor: fullname: Yu |
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