计算机科学

计算机科学 ›› 2024, Vol. 51 ›› Issue (11A): 240400053-7.doi: 10.11896/jsjkx.240400053

• 大数据&数据科学 • 上一篇    下一篇

网络媒体报道和政府干预下突发事件舆情的群体极化传播模型

林宇英1, 张亮1, 缪嘉乐2   

  1. 1 青岛大学商学院 山东 青岛 266100
    2 上海大学管理学院 上海 200444
  • 出版日期:2024-11-16 发布日期:2024-11-13
  • 通讯作者: 张亮(zhangliang@qdu.edu.cn)
  • 作者简介:(2021021201@qdu.edu.cn)
  • 基金资助:
    国家社会科学基金(22BXW070)

Group Polarization Communication Model of Public Opinion in Emergencies Considering NetworkMedia Report and Government Intervention

LIN Yuying1, ZHANG Liang1, MIAO Jiale2   

  1. 1 School of Business,Qingdao University,Qingdao,Shandong 266100,China
    2 School of Management,Shanghai University,Shanghai 200444,China
  • Online:2024-11-16 Published:2024-11-13
  • About author:LIN Yuying,born in 1999,postgra-duate.Her research interests include product innovation and information management.
    ZHANG Liang,born in 1979,Ph.D,associate professor.His main research interest is information management.
  • Supported by:
    National Social Science Fund of China(22BXW070).

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摘要： 突发事件舆情的传播中,容易产生非理性、极端化的群体观点和情绪,即群体极化现象,增加了社会不稳定的风险。网络媒体报道和政府干预在舆情传播中发挥着重要作用,亟待了解它们对群体极化的作用机制,以此通过多方发力来减轻舆情传播带来的负面影响。将舆情传播中的网民划分为易感、接受、传播、极化和恢复5种状态,建立了SEIPR-MG传染病模型并作平衡点分析。通过仿真实验研究了突发事件舆情的群体极化传播机制。研究发现,SEIPR-MG模型揭示了网络媒体报道和政府干预下突发事件舆情传播和群体极化的具体机制:网络自媒体的报道使舆情传播速度更快、范围更大,推动群体极化形成和发展;政府干预能够有效控制网络舆情的整体传播方向,阻止极化情绪和观点的产生和蔓延。

关键词: 网络媒体报道, 政府干预, 突发事件舆情, 群体极化

Abstract: Group polarization means that irrational and extreme group views and emotions are easy to appear in the communication of public opinion in emergencies,which increases the risk of social instability.Network media reports and government intervention play important roles in the dissemination of public opinion.It is urgent to understand their mechanism of action on group polarization,so as to reduce the negative impact of public opinion dissemination through multiple efforts.According to the netizens'state of public opinion communication in emergencies,they are divided into five states:susceptible,exposed,infective,pola-rized and recovered.The SEIPR-MG epidemic model is established and the equilibrium point is analyzed.Simulation experiments are conducted to study the transmission mechanism of group polarization of public opinion in emergencies.The SEIPR-MG model reveals the specific mechanism of public opinion communication and group polarization in emergencies under network media reports and government intervention.The reports of the network we-media not only make public opinion communication faster and wider but also promote the emergence and development of group polarization.Government intervention can effectively control the dissemination direction of online public opinion,and prevent the emergence and spread of polarized emotions and views.

Key words: Network media reports, Government intervention, Public opinion in emergencies, Group polarization

中图分类号: 

  • G203
[1]WU X W,LIU Z X.Research on Public Opinion Propagation of Emergency Reversal Based on Machine Learning [J].International Journal of Computational Intelligence Systems,2023,16(1):75.
[2]GENG L X,ZHENG H Y,QIAO G G,et al.Online Public Opi-nion Dissemination Model and Simulation under Media Intervention from Different Perspectives [J].Chaos Solitons & Fractals,2023,166:112959.
[3]AN L,CHEN M M,LI G.Emergency Severity Assessment and Early Warning Mechanism in the Social Media Environment [J].Library and Information Service,2021,65(5):98-109.
[4]QI K,YANG Z.Multi-Scenario Evolutionary Game Analysis of Network Public Opinion Governance in Sudden Crisis [J].Chinese Journal of Management Science,2020,28(3):59-70.
[5]BUDER J,RABL L,FEIKS M,et al.Does Negatively Toned Language Use on Social Media Lead to Attitude Polarization? [J].Computers in Human Behavior,2021,116:106663.
[6]YAO Z,TANG P,FAN J,et al.Influence of Online Social Support on the Public′s Belief in Overcoming Covid-19 [J].Information Processing & Management,2021,58(4):102583.
[7]XIE R J,LIU D J,JIA Y C,et al.Influence of We Media Infor-mation Dissemination on Public Emotional Cognition and Beha-vior under Government Responsibility Constraint [J].Discrete Dynamics in Nature and Society,2021,2021:1-14.
[8]LI S,LIU Z,LI Y.Temporal and spatial evolution of online public sentiment on emergencies[J].Information Processing & Management,2020,57(2):102177.
[9]GU Q,WU B,CHI R.Optimal Control Model of Social Network Public Opinion Considering Thought Time-Lag [J].Chinese Journal of Management Science,2021,29(11):215-223.
[10]WANG L,LI S,HE J,et al.The Behavior Spread Of buying the Winnersof Real Estate Investors under the Disturbance of Internet Public Opinion [J].Chinese Journal of Management Science,2023,31(1):56-69.
[11]SUNSTEIN C R.The Law of Group Polarization [J].Journal of Political Philosophy,2002,10(2):175-195.
[12]CUI Z,XU X,XUE F,et al.Personalized Recommendation System Based on Collaborative Filtering for IoT Scenarios [J].IEEE Transactions on Services Computing,2020,13(4):685-695.
[13]WANG X W,JIA R N,LIU T Y,et al.Research on the Characteristics of the Participants of InformationDissemination during the COVlD-19 Pandemic－A Case Study ofDiamond Princess [J].Journal of the China Society for Scientific and Technical Information,2021,40(3):245-255.
[14]SUI Y,LI Y.On the Social Communication of Personal Emotions in the Age of Group Communication [J].Modern Communication(Journal of Communication University of China),2012,34(12):10-15.
[15]CLEMENTE M,ROULET T J.Public Opinion as a Source of Deinstitutionalization:A “Spiral of Silence” Approach [J].Academy of Management Review,2015,40(1):96-114.
[16]GAO G,WANG T Y,ZHENG X R,et al.A Systems Dynamics Simulation Study of Network Public Opinion Evolution Mechanism [J].Journal of Global Information Management,2019,27(4):189-207.
[17]MEI Y S,ZHU H M,WEI J.A Study on the Mechanism of Media Collaboration on the Spread ofInternet Public Opinion [J].Data Analysis and Knowledge Discovery,2019,3(2):65-71.
[18]HUANG H,KANG N.Characteristics and mechanism of group polarization in the era of mobile Internet:A content analysis based on media texts and netizen comments on Jiang Ge case [J].Chinese Journal of Journalism & Communication,2019,41(2):38-61.
[19]YUAN G,CAO X Q.Analysis of the Influencing Factors ofGovernment Response Effect inNetwork Public Opinion Involving Officials:An Empirical Study Based on 139 Cases [J].Journal of Intelligence,2019,38(8):126-135.
[20]HU J,WANG R.Familiarity Breeds Trust?The Relationshipbetween Dating App Use and Trust in Dating Algorithms Via Algorithm Awareness and Critical Algorithm Perceptions [J].International Journal of Human-Computer Interaction,2023:1-12.
[21]WANG M Z,LIU Y J,GUO L J.Research on the “Time-Degree-Effect” Governance of Online Public Opinion Based on Evo-lutionary Game [J].Management Review,2023,35(8):315-326.
[22]MA N,LIU Y.Staged Modeling Analysis of the Dissemination Impact of Opinion Leaders [J].Chinese Journal of Management Science,2020,28(3):52-58.
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