IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i3p946-d316074.html
   My bibliography  Save this article

Public Opinion Polarization by Individual Revenue from the Social Preference Theory

Author

Listed:
  • Tinggui Chen

    (School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China
    School of Management and E-Business, Zhejiang Gongshang University, Hangzhou 310018, China)

  • Qianqian Li

    (School of Management and E-Business, Zhejiang Gongshang University, Hangzhou 310018, China)

  • Peihua Fu

    (School of Management and E-Business, Zhejiang Gongshang University, Hangzhou 310018, China)

  • Jianjun Yang

    (Department of Computer Science and Information Systems, University of North Georgia, Oakwood, GA 30566, USA)

  • Chonghuan Xu

    (School of Business Administration, Zhejiang Gongshang University, Hangzhou 310018, China)

  • Guodong Cong

    (School of Tourism and Urban-Rural Planning, Zhejiang Gongshang University, Hangzhou 310018, China)

  • Gongfa Li

    (Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, China)

Abstract

Social conflicts occur frequently during the social transition period and the polarization of public opinion happens occasionally. By introducing the social preference theory, the target of this paper is to reveal the micro-interaction mechanism of public opinion polarization. Firstly, we divide the social preferences of Internet users (network nodes) into three categories: egoistic, altruistic, and fair preferences, and adopt the revenue function to define the benefits obtained by individuals with different preferences among their interaction process so as to analyze their decision-making behaviors driven by the revenue. Secondly, the revenue function is used to judge the exit rules of nodes in a network, and then a dynamic network of spreading public opinion with the node (individual) exit mechanism is built based on a BA scale-free network. Subsequently, the influences of different social preferences, as well as individual revenue on the effect of public opinion polarization, are analyzed through simulation experiments. The simulation results show that (1) Different social preferences demonstrate different influences on the evolution of public opinions, (2) Individuals tend to interact with ones with different preferences, (3) The network with a single preference or a high aggregation is more likely to form public opinion polarization. Finally, the practicability and effectiveness of the proposed model are verified by a real case.

Suggested Citation

  • Tinggui Chen & Qianqian Li & Peihua Fu & Jianjun Yang & Chonghuan Xu & Guodong Cong & Gongfa Li, 2020. "Public Opinion Polarization by Individual Revenue from the Social Preference Theory," IJERPH, MDPI, vol. 17(3), pages 1-29, February.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:3:p:946-:d:316074
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/3/946/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/3/946/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ernst Fehr & Klaus M. Schmidt, 1999. "A Theory of Fairness, Competition, and Cooperation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(3), pages 817-868.
    2. Daniel Navarro-Martinez & Graham Loomes & Andrea Isoni & David Butler & Larbi Alaoui, 2018. "Boundedly rational expected utility theory," Journal of Risk and Uncertainty, Springer, vol. 57(3), pages 199-223, December.
    3. Tinggui Chen & Shiwen Wu & Jianjun Yang & Guodong Cong, 2019. "Risk Propagation Model and Its Simulation of Emergency Logistics Network Based on Material Reliability," IJERPH, MDPI, vol. 16(23), pages 1-18, November.
    4. Tinggui Chen & Shiwen Wu & Jianjun Yang & Guodong Cong & Gongfa Li, 2020. "Modeling of Emergency Supply Scheduling Problem Based on Reliability and Its Solution Algorithm under Variable Road Network after Sudden-Onset Disasters," Complexity, Hindawi, vol. 2020, pages 1-15, January.
    5. Kim, Jeeyeon & Kim, Mingyung & Choi, Jeonghye & Trivedi, Minakshi, 2019. "Offline social interactions and online shopping demand: Does the degree of social interactions matter?," Journal of Business Research, Elsevier, vol. 99(C), pages 373-381.
    6. María Guadalupe Medina Guevara & Héctor Vargas Rodríguez & Pedro Basilio Espinoza Padilla & José Luis Gozález Solís, 2018. "Evolution of Electoral Preferences for a Regime of Three Political Parties," Discrete Dynamics in Nature and Society, Hindawi, vol. 2018, pages 1-9, October.
    7. Tinggui Chen & Qianqian Li & Jianjun Yang & Guodong Cong & Gongfa Li, 2019. "Modeling of the Public Opinion Polarization Process with the Considerations of Individual Heterogeneity and Dynamic Conformity," Mathematics, MDPI, vol. 7(10), pages 1-33, October.
    8. Levon Barseghyan & Francesca Molinari & Joshua C. Teitelbaum, 2016. "Inference under stability of risk preferences," Quantitative Economics, Econometric Society, vol. 7(2), pages 367-409, July.
    9. Jin Li & Renbin Xiao, 2017. "Agent-Based Modelling Approach for Multidimensional Opinion Polarization in Collective Behaviour," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(2), pages 1-4.
    10. Wayne-Roy Gayle & Natalia Khorunzhina, 2018. "Micro-Level Estimation of Optimal Consumption Choice With Intertemporal Nonseparability in Preferences and Measurement Errors," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(2), pages 227-238, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Peihua Fu & Bailu Jing & Tinggui Chen & Jianjun Yang & Guodong Cong, 2020. "Modeling Network Public Opinion Propagation with the Consideration of Individual Emotions," IJERPH, MDPI, vol. 17(18), pages 1-29, September.
    2. Ziyuan Liu & Zhi Li & Weiming Chen & Yunpu Zhao & Hanxun Yue & Zhenzhen Wu, 2020. "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," IJERPH, MDPI, vol. 17(16), pages 1-18, August.
    3. Tinggui Chen & Yulong Wang & Jianjun Yang & Guodong Cong, 2021. "Modeling Multidimensional Public Opinion Polarization Process under the Context of Derived Topics," IJERPH, MDPI, vol. 18(2), pages 1-34, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Peihua Fu & Bailu Jing & Tinggui Chen & Jianjun Yang & Guodong Cong, 2020. "Modeling Network Public Opinion Propagation with the Consideration of Individual Emotions," IJERPH, MDPI, vol. 17(18), pages 1-29, September.
    2. Ziyuan Liu & Zhi Li & Weiming Chen & Yunpu Zhao & Hanxun Yue & Zhenzhen Wu, 2020. "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," IJERPH, MDPI, vol. 17(16), pages 1-18, August.
    3. Tinggui Chen & Yulong Wang & Jianjun Yang & Guodong Cong, 2021. "Modeling Multidimensional Public Opinion Polarization Process under the Context of Derived Topics," IJERPH, MDPI, vol. 18(2), pages 1-34, January.
    4. Ederer, Florian & Stremitzer, Alexander, 2017. "Promises and expectations," Games and Economic Behavior, Elsevier, vol. 106(C), pages 161-178.
    5. Agnes Bäker & Werner Güth & Kerstin Pull & Manfred Stadler, 2012. "On the Context-Dependency of Inequality Aversion - Experimental Evidence and a Stylized Model -," Jena Economics Research Papers 2012-023, Friedrich-Schiller-University Jena.
    6. Claudia M. Landeo & Kathryn E. Spier, 2016. "Stipulated Damages as a Rent-Extraction Mechanism: Experimental Evidence," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 172(2), pages 235-273, June.
    7. Mengyuan Zhou, 2022. "Does the Source of Inheritance Matter in Bequest Attitudes? Evidence from Japan," Journal of Family and Economic Issues, Springer, vol. 43(4), pages 867-887, December.
    8. Engelhardt, Sebastian v. & Freytag, Andreas, 2013. "Institutions, culture, and open source," Journal of Economic Behavior & Organization, Elsevier, vol. 95(C), pages 90-110.
    9. Robert Jiro Netzer & Matthias Sutter, 2009. "Intercultural trust. An experiment in Austria and Japan," Working Papers 2009-05, Faculty of Economics and Statistics, Universität Innsbruck.
    10. David J. Cooper & Krista Saral & Marie Claire Villeval, 2021. "Why Join a Team?," Management Science, INFORMS, vol. 67(11), pages 6980-6997, November.
    11. Ellingsen, Tore & Johannesson, Magnus, 2009. "Time is not money," Journal of Economic Behavior & Organization, Elsevier, vol. 72(1), pages 96-102, October.
    12. Becchetti, Leonardo & Degli Antoni, Giacomo & Ottone, Stefania & Solferino, Nazaria, 2013. "Allocation criteria under task performance: The gendered preference for protection," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 45(C), pages 96-111.
    13. Mujcic, Redzo & Frijters, Paul, 2013. "Still Not Allowed on the Bus: It Matters If You're Black or White!," IZA Discussion Papers 7300, Institute of Labor Economics (IZA).
    14. Renou, Ludovic & Schlag, Karl H., 2010. "Minimax regret and strategic uncertainty," Journal of Economic Theory, Elsevier, vol. 145(1), pages 264-286, January.
    15. Falk Armin & Kosfeld Michael, 2012. "It's all about Connections: Evidence on Network Formation," Review of Network Economics, De Gruyter, vol. 11(3), pages 1-36, September.
    16. Michael Seiler, 2014. "The Effect of Perceived Lender Characteristics and Market Conditions on Strategic Mortgage Defaults," The Journal of Real Estate Finance and Economics, Springer, vol. 48(2), pages 256-270, February.
    17. Yamada, Katsunori & Sato, Masayuki, 2013. "Another avenue for anatomy of income comparisons: Evidence from hypothetical choice experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 89(C), pages 35-57.
    18. Christian Thöni, 2014. "Inequality aversion and antisocial punishment," Theory and Decision, Springer, vol. 76(4), pages 529-545, April.
    19. Mononen, Lasse, 2024. "Dynamically Consistent Intergenerational Welfare," Center for Mathematical Economics Working Papers 687, Center for Mathematical Economics, Bielefeld University.
    20. Decker, Torsten & Stiehler, Andreas & Strobel, Martin, 2002. "A Comparison of Punishment Rules in Repeated Public Good Games - An Experimental Study," Research Memorandum 020, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:3:p:946-:d:316074. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.