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Emergence and spread of extremist opinions

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  • Fan, Kangqi
  • Pedrycz, Witold

Abstract

Understanding the emergence and diffusion of extreme opinions becomes important to our globalized society. In this study, we propose a social judgment based opinion (SJBO) dynamics model, which incorporates both the compromise between similar opinions and the repulsion between discrepant opinions, to study the occurrence and spread of extremism in two different scenarios. The first concerns a situation in which individuals interact with each other through their inner opinions, while the second involves a case that each individual updates his inner opinion and choice via observing his neighbor’s choice. The simulation results show that, in the first scenario, a critical uncertainty level is present, at which the size of extremists can be maximized. Increasing or decreasing the uncertainty level from the critical value can diminish or even eliminate the extremists. In the second scenario, high uncertainty level tends to promote the development of extremists. However, the extremism can be contained or even avoided if the influence scope of silencers is large enough. In both scenarios, a large level of tolerance can help to reduce extremists as well.

Suggested Citation

  • Fan, Kangqi & Pedrycz, Witold, 2015. "Emergence and spread of extremist opinions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 87-97.
  • Handle: RePEc:eee:phsmap:v:436:y:2015:i:c:p:87-97
    DOI: 10.1016/j.physa.2015.05.056
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    as
    1. C.R. Martins, André, 2014. "Discrete opinion models as a limit case of the CODA model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 352-357.
    2. Deng, Lei & Liu, Yun & Xiong, Fei, 2013. "An opinion diffusion model with clustered early adopters," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(17), pages 3546-3554.
    3. Pawel Sobkowicz, 2013. "Minority persistence in agent based model using information and emotional arousal as control variables," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 86(7), pages 1-11, July.
    4. Galam, Serge & Jacobs, Frans, 2007. "The role of inflexible minorities in the breaking of democratic opinion dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 381(C), pages 366-376.
    5. Rainer Hegselmann & Ulrich Krause, 2002. "Opinion Dynamics and Bounded Confidence Models, Analysis and Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(3), pages 1-2.
    6. Guillaume Deffuant & Frederic Amblard & Gérard Weisbuch, 2002. "How Can Extremism Prevail? a Study Based on the Relative Agreement Interaction Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(4), pages 1-1.
    7. Serge Galam, 2008. "Sociophysics: A Review Of Galam Models," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 19(03), pages 409-440.
    8. Amblard, Frédéric & Deffuant, Guillaume, 2004. "The role of network topology on extremism propagation with the relative agreement opinion dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 343(C), pages 725-738.
    9. Chau, H.F. & Wong, C.Y. & Chow, F.K. & Fung, Chi-Hang Fred, 2014. "Social judgment theory based model on opinion formation, polarization and evolution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 415(C), pages 133-140.
    10. Jan Lorenz, 2007. "Continuous Opinion Dynamics Under Bounded Confidence: A Survey," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 18(12), pages 1819-1838.
    11. Galam, Serge, 2000. "Real space renormalization group and totalitarian paradox of majority rule voting," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 285(1), pages 66-76.
    12. Katarzyna Sznajd-Weron & Józef Sznajd, 2000. "Opinion Evolution In Closed Community," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 11(06), pages 1157-1165.
    13. Chmiel, Anna & Sobkowicz, Pawel & Sienkiewicz, Julian & Paltoglou, Georgios & Buckley, Kevan & Thelwall, Mike & Hołyst, Janusz A., 2011. "Negative emotions boost user activity at BBC forum," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(16), pages 2936-2944.
    14. Scott Atran, 2003. "Genesis of Suicide Terrorm (supporting online material)," Post-Print ijn_00000344, HAL.
    15. Pawel Sobkowicz, 2010. "Effect Of Leader'S Strategy On Opinion Formation In Networked Societies With Local Interactions," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 21(06), pages 839-852.
    16. Guillaume Deffuant, 2006. "Comparing Extremism Propagation Patterns in Continuous Opinion Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(3), pages 1-8.
    17. Katarzyna Sznajd-Weron, 2005. "Sznajd model and its applications," HSC Research Reports HSC/05/04, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    18. Sylvie Huet & Guillaume Deffuant, 2010. "Openness Leads To Opinion Stability And Narrowness To Volatility," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 13(03), pages 405-423.
    19. Galam, Serge, 1999. "Application of statistical physics to politics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 274(1), pages 132-139.
    20. P. Sobkowicz & A. Sobkowicz, 2010. "Dynamics of hate based Internet user networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 73(4), pages 633-643, February.
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    Cited by:

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    3. Yan, Fuhan & Li, Zhaofeng & Jiang, Yichuan, 2016. "Controllable uncertain opinion diffusion under confidence bound and unpredicted diffusion probability," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 449(C), pages 85-100.
    4. Fan, Kangqi & Pedrycz, Witold, 2017. "Evolution of public opinions in closed societies influenced by broadcast media," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 472(C), pages 53-66.
    5. Evangelos Ioannidis & Nikos Varsakelis & Ioannis Antoniou, 2020. "Promoters versus Adversaries of Change: Agent-Based Modeling of Organizational Conflict in Co-Evolving Networks," Mathematics, MDPI, vol. 8(12), pages 1-25, December.
    6. Dimitris Tsintsaris & Milan Tsompanoglou & Evangelos Ioannidis, 2024. "Dynamics of Social Influence and Knowledge in Networks: Sociophysics Models and Applications in Social Trading, Behavioral Finance and Business," Mathematics, MDPI, vol. 12(8), pages 1-27, April.
    7. Fan, Kangqi & Pedrycz, Witold, 2016. "Opinion evolution influenced by informed agents," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 431-441.
    8. Zhiying Wang & Xiaodi Liu & Shitao Zhang, 2019. "A New Decision Method for Public Opinion Crisis with the Intervention of Risk Perception of the Public," Complexity, Hindawi, vol. 2019, pages 1-14, July.
    9. Ding, Haixin & Xie, Li, 2024. "The applicability of positive information in negative opinion management: An attitude-laden communication perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 645(C).

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