Abstract
We simulated the effects of mass media in society using a new theory of opinion dynamics that incorporated both trust and distrust into human relationships. We calculated not only the case where the media works uniformly for the people of society, but also the case of microtargeting where the media works only for those who have weak opinions. We also calculated the mass media effect that drives people to a particular opinion. The network of people is a random network, the coefficient of trust between people is determined by random numbers, and half of human relationships are untrusted.
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References
Baum, M.B., Potter, P.B.K.: The relationships between mass media, public opinion, and foreign policy: toward a theoretical synthesis. Annu. Rev. Polit. Sci. 11, 39–65 (2008)
McCombs, M.: Setting the Agenda: Mass Media and Public Opinion. John Wiley & Sons, New York (2018)
Barbu, O.: Advertizing, microtargeting and social media. Procedia - Soc. Behav. Sci. 163, 44–49 (2014)
Deffuant, G., Neau, D., Frédéric, A., Gérard, W.: Mixing beliefs among interacting agents. Adv. Complex Syst. 3(15), 87–98 (2000)
Weisbuch, G., Deffuant, G., Amblard, F., Nadal, J.P.: Meet, discuss and segregate!. Complexity 7(3), 55–63 (2002)
Hegselmann, R., Krause, U.: Opinion dynamics and bounded confidence models, analysis, and simulation. J. Artif. Soc. Soc. Simul. 5(3) (2002)
Castellano, C., Fortunato, S., Loreto, V.: Statistical physics of social dynamics. Rev. Mod. Phys. 81(2), 591–646 (2009)
Sîrbu, A., Loreto, V., Servedio, V.D.P., Tria, F.: Opinion dynamics: models, extensions and external effects. In: Loreto, V., et al. (eds.) Participatory Sensing, Opinions and Collective Awareness. Understanding Complex Systems, 42 pp. Springer, Cham (2017)
Ishii, A., Kawahata, Y.: Opinion dynamics theory for analysis of consensus formation and division of opinion on the internet. In: Proceedings of The 22nd Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES2018), pp. 71–76 (2018) arXiv:1812.11845 [physics.soc-ph]
Ishii, A.: Opinion dynamics theory considering trust and suspicion in human relations. In: Morais, D.C., Carreras, A., de Almeida, A.T., Vetschera, R. (eds.) GDN 2019. LNBIP, vol. 351, pp. 193–204. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-21711-2_15
Ishii, A., Kawahata, Y.: Opinion dynamics theory considering interpersonal relationship of trust and distrust and media effects. In: The 33rd Annual Conference of the Japanese Society for Artificial Intelligence, 33 JSAI2019 2F3-OS-5a-05 (2019)
Okano, N., Ishii, A.: Sociophysics approach of simulation of charismatic person and distrusted people in society using opinion dynamics. In: Sato, H., Iwanaga, S., Ishii, A. (eds.) Proceedings of the 23rd Asia-Pacific Symposium on Intelligent and Evolutionary Systems, pp. 238–252. Springer (2019)
Okano, N., Ishii, A.: Isolated, untrusted people in society and charismatic person using opinion dynamics. In: Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence 2019, Thessaloniki, Greece (2019)
French, J.R.P.: A formal theory of social power. Psychol. Rev. 63(3), 181–194 (1956)
Harary, F.: A criterion for unanimity in French as theory of social power. In: Cartwright, D. (ed.) Studies in Social Power. Institute for Social Research, Ann Arbor (1959)
Abelson, R.P.: Mathematical models of the distribution of attitudes under controversy. In: Frederiksen, N., Gulliksen, H. (Eds.): Contributions to Mathematical Psychology. Holt, Rinehart, and Winston, New York (1964)
De Groot, M.H.: Reaching a consensus. J. Amer. Statist. Assoc. 69, 118–121 (1974)
Lehrer, K.: Social consensus and rational agnoiology. Synthese 31, 141–160 (1975)
Chatterjee, S.: Reaching a consensus: Some limit theorems. In: Proc. Int. Statist. Inst. 159–164 (1975)
Tanimoto, K., Kita, H., Mitukuni, A.: Opinion choice model in public meeting by using evolutionary game theory infrastructure. Plan. Rev. 18, 89–95 (2001)
Galam, S.: Rational group decision making: a random field Ising model at T = 0. Physics A 238, 66 (1997)
Sznajd-Weron, K., Sznajd, J.: Opinion evolution in closed community. Int. J. Mod. Phys. C 11(6), 1157–1165 (2000)
Sznajd-Weron, K., Tabiszewski, M., Timpanaro, A.M.: Phase transition in the Sznajd model with independence. Europhys. Lett. 96(4), 48002 (2011)
Galam, S.: Application of statistical physics to politics. Phys. A: Stat. Mech. Appl. 274, 132–139 (1999)
Galam, S.: Real space renormalization group and totalitarian paradox of majority rule voting. Phys. A: Stat. Mech. App. 285, 66–76 (2000)
Galam, S.: Are referendums a mechanism to turn our prejudices into rational choices? An unfortunate answer from sociophysics. In: Morel, L., Qvortrup, M. (eds.) The Routledge Handbook to Referendums and Direct Democracy. Taylor & Francis, London (2017). Chapter19
Galam, S.: The Trump phenomenon: an explanation from sociophysics. Int. J. Mod. Phys. B 31, 1742015 (2017)
Jager, W., Amblard, F.: Uniformity, bipolarization and pluriformity captured as generic stylized behavior with an agent-based simulation model of attitude change. Comput. Math. Organ. Theory 10, 295–303 (2004)
Jager, W., Amblard, F.: Multiple attitude dynamics in large populations. In: Presented in the Agent 2005 Conference on Generative Social Processes, Models and Mechanisms, 13–15 October 2005 at The University of Chicago (2005)
Kurmyshev, E., Juárez, H.A., González-Silva, R.A.: Dynamics of bounded confidence opinion in heterogeneous social networks: concord against partial antagonism. Physics A 390, 2945–2955 (2011)
Ishii, A., Arakaki, H., Matsuda, N., Umemura, S., Urushidani, T., Yamagata, N., Yoshida, N.: The ‘hit’ phenomenon: a mathematical model of human dynamics interactions as a stochastic process. New J. Phys. 14, 063018 (2012)
Ishii, A., Kawahata, Y.: Sociophysics analysis of the dynamics of peoples’ interests in society. Front. Phys. (2018) https://doi.org/10.3389/fphy.2018.00089
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This work was supported by JSPS KAKENHI Grant Number JP19K04881.
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Ishii, A., Okano, N. (2021). Sociophysics Approach of Simulation of Mass Media Effects in Society Using New Opinion Dynamics. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Systems and Applications. IntelliSys 2020. Advances in Intelligent Systems and Computing, vol 1252. Springer, Cham. https://doi.org/10.1007/978-3-030-55190-2_2
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