Ceux qui niaient le christianisme élevant la voix et ceux qui croyaient encore faisant silence, il arriva ce qui s’est vu si souvent depuis parmi nous, non seulement en fait de religion, mais en toute autre matière. Les hommes qui conservaient l’ancienne foi craignirent d’être les seuls à lui rester fidèles, et, redoutant plus l’isolement que l’erreur, ils se joignirent à la foule sans penser comme elle. Ce qui n’était encore que le sentiment d’une partie de la nation parut ainsi l’opinion de tous, et sembla dès lors irrésistible aux yeux mêmes de ceux qui lui donnaient cette fausse apparence (Tocqueville et al. 1856: 152).
Abstract
In the vast and rich literature on opinion dynamics, the role of preference falsification has generally been dismissed. Following the lead of Timur Kuran, in this paper we present one of the first multi-agent models that explores how opinion dynamics can be affected by the possible divorce between private and public opinions. It is also the first attempt to explore the role of social hierarchies in opinion dynamics conditioned by preference falsification. Our model formalizes heterogeneous evolving agents guided by a cognitively feasible set of heuristics and embedded in a social-rank-dependent structure of interactions. In social-rank-heterophilic encounters where people experience a high pressure of face-to-face interactions, unanimous support for the high social-rank preferred option emerges, while in any other scenario this option gathers majority but not unanimous support. Preference falsification has a crucial role in the emergence of unanimity, but it also creates the conditions for further private opinion actualizations that end up generating a self-sustained and sincere unanimity. When social-rank-homophilic encounters are the rule, or when group dynamics are irrelevant for opinion expression, agents never find incentives to falsify their opinions, therefore generating a social situation that resembles the general idea behind the ethnographic work of James C. Scott: true opinion expression in daily social-rank-homophilic encounters and a persistent opinion falsification in dissimilar social-rank interactions.
Similar content being viewed by others
Notes
Although preferences, beliefs and opinions are different phenomena, in this work (and as is usual in opinion dynamics models), by fiat, we shall use the three terms as being synonymous.
There are some developments of Kuran’s models outside the field of opinion dynamics. As Duggins pointed out (2017: 1.4), theyassume global information and rational action, and have not yet been applied to the study of interpersonal influence within social networks. Therefore, the models share the same limitations as Kuran’s models (see Arce et al. 2003; Bernheim 1994; Ginkel and Smith 1999; Klick and Parisi 2008; Makowsky and Rubin 2013; Rubin 2014; Tullock 1974).
It was initially developed using Netlogo v. 5.3.1, and the production version was refactorized and run using NetLogo 6.0.4 on several *NIX systems at the Laboratory for Socio-Historical Dynamics Simulation (Autonomous University of Barcelona). The outcome dataset was analyzed and plotted using R scripts, LO-Calc and SPSS. Some other spreadsheet and wordprocessing applications have been used to test and check early numerical outcomes.
It is worth mentioning that, contrary to our thesis, Kuran argues (1995a: 181–183) that preference falsification and cognitive dissonance reduction cannot have an important role in the evolution of private opinions in these scenarios. In this regard, he states that the most important mechanisms are by necessity cognitive (i.e., the social proof heuristic and availability heuristic) (1987b: 655 note 19, 1995a: block 3, 1998a: 150–151, 1998b, c; Kuran and Sunstein 1999), so private opinion would only change as a consequence of direct social influence (and probably throughout generations, 1987b: 658, 1998b). For a convincing response which states that preference falsification and cognitive dissonance reduction can also have a role in private opinion changes, see Elster (1996).
In these models, the global opinion that agents take into account is the modal opinion of the population. In our model, agents consider the mean opinion. Moreover, our model concedes a very limited role to mass media as a mere reporter of the state of public opinion, and unlike most current models that consider mass media as external perturbations (see, for example, Gargiulo and Gandica 2017; Grabowsky and Kosinsky 2006; Kurahashi-Nakamura et al. 2016; Watts and Dodds 2007).
Seminal models on opinion dynamics centred on the study of consensus emergence produced unanimity (see Abelson 1964; Berger 1981; De Groot 1974; French 1956), while classic binary models and their developments can produce consensus as well as polarization depending on their variations (for a detailed discussion, see Castellano et al. 2009).
References
Abelson, R.P.: Mathematical models of the distribution of attitudes under controversy. In: Frederiksen, N., Gulliksen, H. (eds.) Contributions to Mathematical Psychology, pp. 142–160. Holt, Rinehart, and Winston, New York (1964)
Afshar, M., Asadpour, M.: Opinion formation by informed agents. J. Artif. Soc. Soc. Simul. (2010). https://doi.org/10.18564/jasss.1665
Arce, M., Daniel, G., Sandler, T.: An evolutionary game approach to fundamentalism and conflict. J. Inst. Theor. Econ. 159(1), 132–170 (2003)
Argyle, M.: Social pressure in public and private situations. J. Abnorm. Soc. Psichol. 54, 172–175 (1951)
Arndt, J., Schimel, J., Greenberg, J., Pyszczynski, T.: The intrinsic self and defensiveness. Personal. Soc. Psychol. Bull (2002). https://doi.org/10.1177/0146167202288011
Aronson, E.: The Social Animal, 9th edn. Freeman, New York (2003)
Asch, S.: Effects of group pressure upon the modification and distortion of judgements. In: Guetzkow, M.H. (ed.) Groups, Leadership and Men. Carnegie, Pittsburg (1951)
Asch, S.: Studies of independence and conformity: a minority of one against unanimous majority. Psychol. Monogr. 70(9), 1 (1956)
Baldassarri, D., Bearman, P.: Dinamics of political polarization. Am. Soc. Rev. (2007). https://doi.org/10.1177/000312240707200507
Balenzuela, P., Pinasco, J.P., Semeshenko, V.: The undecided have the key. PLoS ONE (2015). https://doi.org/10.1371/journal.pone.0139572
Barth, V.: A model of opinion dynamics among firms. In: Proceedings of the Workshop Potentials of Complexity Science for Business, Government, and the Media. Budapest (2006)
Berger, R.L.: A necessary and sufficient condition for reaching a consensus using DeGroot’s method. J. Am. Stat. Assoc. (1981). https://doi.org/10.1080/01621459.1981.10477662
Bernheim, B.D.: A theory of conformity. J. Polit. Econ. 102(5), 841–877 (1994)
Castellano, C., Fortunato, S., Loreto, V.: Statistical physics of social dynamics. Rev. Mod. Phys. (2009). https://doi.org/10.1103/revmodphys.81.591
Chacoma, A., Zanette, D.H.: Opinion formation by social influence. PLoS ONE (2015). https://doi.org/10.1371/journal.pone.0140406
Cialdini, R.B., Goldstein, N.J.: Social influence. Annu. Rev. Psychol. (2004). https://doi.org/10.1146/annurev.psych.55.090902.142015
Clifford, P., Sudbury, A.: A model for spatial conflict. Biometrika (1973). https://doi.org/10.2307/2335008
Crokidakis, N., Oliveira, C.D.: The Sznajd model with limited persuasion: competition between high-reputation and hesitant agents. J. Stat. Mech. Theory Exp. (2011). https://doi.org/10.1088/1742-5468/2011/11/P11004
Dandekar, P., Goel, A., Lee, D.T.: Biased assimilation, homophily, and the dynamics of polarization. Proc. Natl. Acad. Sci. 110(15), 5791–5796 (2013)
De Groot, M.H.: Reaching consensus. J. Am. Stat. Assoc. 69, 118–121 (1974)
Deffuant, G., Neau, D., Amblard, F., Weisbuch, G.: Mixing beliefs among interacting agents. Adv. Complex Syst. (2000). https://doi.org/10.1142/S0219525900000078
Duggins, P.: A psychologically-motivated model of opinion change with applications to American politics. J. Artif. Soc. Soc. Simul. (2017). https://doi.org/10.18564/jasss.3316
Dunbar, R.I.M.: The social brain. Curr. Dir. Psychol. Sci. (2014). https://doi.org/10.1177/0963721413517118
Elster, J.: Review of Timur Kuran: private truths, public lies. Acta Sociol. (1996). https://doi.org/10.1177/000169939603900109
Elster, J.: Explainning Social Behaviour. MIT Press, Cambridge (2007)
Festinger, L.: A Theory of Cognitive Dissonance. Stanford University Press, Stanford (1957)
Flache, A., Mäs, M.: How to get the timing right. Comput. Math. Organ. Theory (2008). https://doi.org/10.1007/s10588-008-9019-1
Flache, A., Mäs, M., Feliciani, T., Chattoe-Brown, E., Deffuant, G., Huet, S., Lorenz, J.: Models of social influence. J. Artif. Soc. Soc. Simul. (2017). https://doi.org/10.18564/jasss.3521
Fortunato, S.: The Sznajd consensus model with continuous opinions. ArXiv, Cornell University. http://arxiv.org/abs/cond-mat/040735 (2004b). Accessed 25 Sept 2018
Fortunato, S., et al.: Universality of the threshold for complete consensus for the opinion dynamics of Defuant. Int. J. Mod. Phys. C 15(09), 1301–1307 (2004)
French, J.: A formal theory of social power. Psychol. Rev. (1956). https://doi.org/10.1037/h0046123
Galam, S.: Minority opinion spreading in random geometry. Eur. Phys. J. B (2002). https://doi.org/10.1140/epjb/e20020045
Galam, S.: Sociophysics. A review of Galam models. Int. J. Mod. Phys. C (2008). https://doi.org/10.1142/s0129183108012297
Galam, S., Moscovici, S.: Towards a theory of collective phenomena. Eur. J. Soc. Psychol. (1991). https://doi.org/10.1002/ejsp.2420210105
Galam, S., Gefen, Y., Shapir, Y.: Sociophysics. A new approach of sociological collective behaviour. J. Math. Soc. (1982). https://doi.org/10.1080/0022250X.1982.9989929
Gargiulo, F., Gandica, Y.: The role of homophily in the emergence of opinion controversies. J. Artif. Soc. Simul. (2017). https://doi.org/10.18564/jasss.3448
Gekle, S., Peliti, L., Galam, S.: Opinion dynamics in a three-choice system. Eur. Phys. J. B Condens. Matter Complex Syst. B (2005). https://doi.org/10.1140/epjb/e2005-00215-3
Gigerenzer, G.: Gut Feelings. Viking Books, New York City (2007)
Gigerenzer, G.: Rationality for Mortals. Oxford University Press, Oxford (2008)
Ginkel, J., Smith, A.: So you say you want a revolution. J. Confl. Resolut. 43(3), 291–316 (1999)
Goldstein, D.: Heuristics. In: Hedström, P., Bearman, P. (eds.) The Oxford Handbook of Analytical Sociology. Oxford University Press, Oxford (2009)
González-Abella, J.C., Eguíluz, V.M., Cosenza, M.G., Klemm, K., Herrera, J., San Miguel, M.: Local versus global interactions in nonequilibrium transitions. Phys. Rev. E 73(4), 046119 (2006)
González-Abella, J.C., Cosenza, M.G., Klemm, K., Eguíluz, V.M., San Miguel, M.: Information feedback and mass media effects in cultural dynamics. J. Artif. Soc. Soc. Simul. 10(39), 1 (2007)
González-Abella, J.C., Cosenza, M.G., San Miguel, M.: A model for cross-cultural reciprocal interactions through mass media. PloS ONE (2012). https://doi.org/10.1371/journal.pone.0051035
Goodwin, J.: Why we were surprised (again) by the Arab Spring. Swiss Polit. Sci. Rev. (2011). https://doi.org/10.1111/j.1662-6370.2011.02045.x
Grabowsky, A., Kosinsky, R.A.: Ising-based model of opinion formation in a complex network of interpersonal interactions. Physica A. (2006). https://doi.org/10.1016/j.physa.2005.06.102
Granovetter, M.S.: The strength of weak ties. Am. J. Sociol. 78(6), 1360–1380 (1973)
Hegselmann, R., Krause, U.: Opinion dynamics and bounded confidence. Models, analysis and simulation. J. Artif. Soc. Soc. Simul. 5(3), 2 (2002)
Holley, R., Liggett, T.M.: Ergodic theorems for weakly interacting systems and the voter model. Ann. Prob. 3, 643–663 (1975)
Holyst, J.A., Kacperski, K., Schweitzer, F.: Social impact models of opinion dynamics. Annu. Rev. Comput. Phys. 9, 253–273 (2001)
Jacobs, R.C., Campbell, D.T.: The perpetuation of an arbitrary tradition through several generations of laboratory microculture. J. Abnorm. Soc. Psychol. (1961). https://doi.org/10.1037/h0044182
Jager, W., Amblard, F.: Uniformity, bipolarization and pluriformity captured as generic stylized behaviour with an agent-based simulation model of attitude change. Comput. Math. Organ. Theory (2005). https://doi.org/10.1007/s10588-005-6282-2
Janes, L.M., Olson, J.M.: Peer pressure: the behavioral effects of observing ridicule of others. Personal. Soc. Psychol. Bull. 26, 474–485 (2000)
Jarman, M., Nowak, A., Borkowski, W., Serfass, D., Wong, A., Vallacher, R.: The critical few. J. Artif. Soc. Soc. Simul. 18(1), 6 (2015)
Kahneman, D.: Thinking, Fast and Slow. Farrar, Straus & Giroux Inc., New York (2011)
Kiesler, C., Zanna, M., De Salvo, J.: Deviation and conformity. J. Personal. Soc. Psychol. (1966). https://doi.org/10.1037/h0023027
Klick, J., Parisi, F.: Social networks, self-denial, and median preferences. J. Soc. Econ. 37, 1319–1327 (2008)
Krause, U.: A discrete nonlinear and non-autonomous model of consensus formation. In: Elyadi, S., Ladas, G., Popenda, J., Rakowski, J. (eds.) Communications in Difference Equations, pp. 227–236. Gordon and Breach Pub, Amsterdam (2000)
Kurahashi-Nakamura, T., Mäs, M., Lorenz, J.: Robust clustering in generalized bounded confidence models. J. Artif. Soc. Soc. Simul. (2016). https://doi.org/10.18564/jasss.3220
Kuran, T.: Chameleon voters and public choice. Public Choice (1987a). https://doi.org/10.1007/BF00115654
Kuran, T.: Preference falsification, policy continuity and collective conservatism. Econ. J. 97(387), 642–665 (1987b)
Kuran, T.: The tenacious past. J. Econ. Behav. Organ. (1988). https://doi.org/10.1016/0167-2681(88)90043-1
Kuran, T.: Sparks and prairie fires. Public Choice 61(1), 41–74 (1989)
Kuran, T.: Cognitive limitations and preference evolution. J. Inst. Theor. Econ. 146, 241–273 (1991a)
Kuran, T.: Now out of never. World Polit. (1991b). https://doi.org/10.2307/2010422
Kuran, T.: The east european revolution of 1989. Am. Econ. Rev. 81(2), 121–125 (1991c)
Kuran, T.: The unthinkable and the unthought. Ration. Soc. (1993a). https://doi.org/10.1177/1043463193005004005
Kuran, T.: Mitigating the tyranny of public opinion. Const. Polit. Econ. (1993b). https://doi.org/10.1007/BF02393282
Kuran, T.: Private Truths, Public Lies. Harvard University Press, Cambridge (1995a)
Kuran, T.: The inevitability of future revolutionary surprises. Am. J. Sociol. (1995b). https://doi.org/10.1086/230671
Kuran, T.: Social mechanisms of dissonance reduction. In: Hedström, P., Swedberg, P. (eds.) Social Mechanisms. Cambridge University Press, Cambridge (1998a)
Kuran, T.: Islam et sous-développement, un vieux puzzle revisité. Journal des Economistes et des Etudes Humaines 8(1), 27–60 (1998b)
Kuran, T.: Moral overload and its alleviation. In: Ben-Ner, A., Putterman, L. (eds.) Economics, Values, and Organization, pp. 231–266. Cambridge University Press, Cambridge (1998c)
Kuran, T., Sunstein, C.: Availability cascades and risk regulation. Stanf. Law Rev. 51(4), 683–768 (1999)
Laguna, M.F., Risau, S., Abramson, G., Goncalves, S., Iglesias, J.R.: The dynamics of opinion in hierarchical organizations. Phys. A 351, 580 (2005)
Lasswell, H.: Propaganda Techniques in the World War. MIT Press, Cambridge (1971/1927)
Latané, B.: The psychology of social impact. Am. Psychol. (1981). https://doi.org/10.1037/0003-066X.36.4.343
León-Medina, F.J.: Analytical sociology and agent-based modeling. Sociol. Theory (2017a). https://doi.org/10.1177/0735275117725766
León-Medina, F.J.: Analytical sociology and its ‘syntax’ for explanation. Soc. Sci. Inf. 56(4), 502–525 (2017b)
León-Medina, F.J.: Endogenours changes in public opinion dynamics. J. Artif. Soc. Soc. Simul. 22(2), 4 (2019). https://doi.org/10.18564/jasss.3967
Lorenz, J.: Continuous opinion dynamics under bounded confidence. Int. J. Mod. Phys. C (2007). https://doi.org/10.1142/S0129183107011789
Macy, M.W., Kitts, J.A., Flache, A., Benard, S.: Polarization in dynamic networks. In: Pattison, P., Carley, K., Breiger, R. (eds.) Dynamic Social Network Modeling and Analysis, pp. 162–173. National Academies Press, Washington, D.C (2003)
Makowsky, M.D., Rubin, J.: An agent-based model of centralized institutions. PLoS ONE (2013). https://doi.org/10.1371/journal.pone.0080380
Mark, N.P.: Culture and competition. Am. Sociol. Rev. 68(3), 319–345 (2003)
Martins, A.C.: Continuous opinions and discrete actions in opinions dynamics problems. Int. J. Mod. Phys. C (2008). https://doi.org/10.1142/s0129183108012339
Mäs, M., Flache, A.: Diferentiation without distancing. PLoS ONE (2013). https://doi.org/10.1371/journal.pone.0074516
Miller, D.T., McFarland, C.: Pluralistic ignorance: when similarity is interpreted as dissimilarity. J. Pers. Soc. Psychol. (1987). https://doi.org/10.1037/0022-3514.53.2.298
Morton, D., Gerard, H.: A study of normative and informational social influence upon individual judgement. J. Abnorm. Soc. Psichol. (1955). https://doi.org/10.1037/h0046408
Moscovici, S.: Towards a theory of conversion behavior. Adv. Exp. Soc. Psychol. (1980). https://doi.org/10.1016/S0065-2601(08)60133-1
Moussaïd, M., Kämmer, J.E., Analytis, P.P., Neth, H.: Social influence and the collective dynamics of opinion formation. Plos ONE (2013). https://doi.org/10.1371/journal.pone.0078433
Mouton, J., Blake, R., Olmstead, J.: The relationship between frequency of yielding and the disclosure of personal identity. J. Pers. 24, 339–347 (1956)
Nowak, A., Lewenstein, M.: Modeling social change with cellular automata. In: Hegselmann, R., Mueller, U., Troitzsch, K.G. (eds.) Modelling and Simulation in the Social Sciences from a Philosophy of Science Point of View, pp. 249–285. Kluver, Dordrecht (1996)
Nowak, A., Szamrej, J., Latané, B.: From private attitude to public opinion. Psychol. Rev. (1990). https://doi.org/10.1037/0033-295X.97.3.362
Patel, D.S.: Preference falsification, revolutionary coordination, and the Tahrir Square model. In: The Annual Proceedings of the Wealth and Well-Being of Nations (2013)
Prentice, D.A., Miller, D.T.: Pluralistic ignorance and alcohol use on campus. J. Pers. Soc. Psychol. 64(2), 243–256 (1993)
Rubin, J.: Centralized institutions and cascades. J. Comp. Econ. (2014). https://doi.org/10.1016/j.jce.2013.11.002
Salzarulo, L.: A continuous opinion dynamics model based on the principle of meta-contrast. J. Artif. Soc. Soc. Simul. 9(1), 13 (2006)
Scott, J.C.: Resistance without protest and without organization. Comp. Stud. Soc. Hist. 29(3), 417–452 (1987)
Scott, J.C.: Domination and the Arts of Resistance. Yale University Press, New Haven (1990)
Scott, J.C.: Weapons of the Weak. Yale University Press, New Haven (2008)
Sen, P.: Phase transitions in a two-parameter model of opinion dynamics with random kinetic exchanges. Phys. Rev. E (2011). https://doi.org/10.1103/PhysRevE.83.016108
Sen, P.: Nonconservative kinetic exchange model of opinion dynamics with randomness and bounded confidence. Phys. Rev. E (2012). https://doi.org/10.1103/physreve.86.016115
Sîrbu, A., Loreto, V., Servedio, V.D.P., Tria, F.: Opinion dynamics. In: Loreto, V., Haklay, M., Hotho, A., Servedio, V.D.P., Stumme, G., Theunis, J., Tria, F. (eds.) Participatory Sensing, Opinions and Collective Awareness, pp. 363–401. Springer, Berlin (2007)
Smaldino, P.E., Epstein, J.M.: Social conformity despite individual preferences for distinctiveness. R. Soc. Open Sci. (2015). https://doi.org/10.1098/rsos.140437
Sobkowicz, P.: Moddelling opinion formation with physics tools: a call for closer link with reality. JASSS 12(1), 11 (2009)
Stauffer, D.: Better being third than second in a search for a majority opinion. Adv. Complex Syst. (2002a). https://doi.org/10.1142/S0219525902000511
Stauffer, D.: The Sznajd model of consensus building with limited persuasion. Int. J. Mod. Phys. C (2002b). https://doi.org/10.1142/S0129183102003140
Stauffer, D., Sousa, A.O., Schulze, C.: Discretized opinion dynamics of the Deffuant model on scale-free networks. JASSS 7(3) (2004)
Sznajd-Weron, K.: Sznajd model and its applications. Acta Phys. Pol. B 36(8), 2537–2547 (2005)
Sznajd-Weron, K., Sznajd, J.: Opinion evolution in a closed community. Int. J. Mod. Phys. C 11(6), 1157–1165 (2000)
Tena-Sánchez, J., León-Medina, F.J.: Modelos de dinámicas de la opinión. Una revisión de la literatura. Revista Internacional de Sociología 77(2), 123 (2019)
Tocqueville De, A.: L’Ancien Régime et la Révolution. Les Éditions Gallimard, Paris (1952/1856)
Tullock, G.: The Social Dilemma. University Publications, Blacksburg (1974)
Vázquez, F., Krapivsky, P.L., Redner, S.: Constrained opinion dynamics. J. Phys. A Math. Gen. 36(3), L61 (2003)
Watts, D., Dodds, P.S.: Influentials, networks, and public opinion formation. J. Consum. Res. (2007). https://doi.org/10.1086/518527
Watts, D., Dodds, P.S.: Social influence. In: Hedström, P., Bearman, P. (eds.) The Oxford Handbook of Analytical Sociology. Oxford University Press, Oxford (2009)
Wedeen, L.: Acting “as if”. Comp. Stud. Soc. Hist. 40(3), 503–523 (1998)
Weisbuch, G., Deffuant, G., Amblard, F., Nadal, J.P.: Meet, discuss and segregate! Complexity 7(3), 55–63 (2002)
Weisbuch, G., Deffuant, G., Amblard, F., Nadal, J.P.: Interacting agents and continuous opinions dynamics. In: Cowan, R., Jonard, N. (eds.) Heterogenous Agents, Interactions and Economic Performance. Volume of 521 Lecture Notes in Economics and Mathematical Systems, pp. 225–242. Springer, Berlin (2003)
Williams, K.P., Cheung, C.K.T., Choi, W.: Cyberostracism: effects of being ignored over the internet. J. Personal. Soc. Psychol. 79, 748–762 (2000)
Funding
This work has been supported by the Spanish Ministry of Economy National R&D Plan (Grant No. CSO2015-64740-R and Grant No. FFI2017-89639-P).
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
León-Medina, F.J., Tena-Sánchez, J. & Miguel, F.J. Fakers becoming believers: how opinion dynamics are shaped by preference falsification, impression management and coherence heuristics. Qual Quant 54, 385–412 (2020). https://doi.org/10.1007/s11135-019-00909-2
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11135-019-00909-2