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Media preference increases polarization in an agent-based election model

Author

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  • Di Benedetto, Andrea
  • Wieners, Claudia E.
  • Dijkstra, Henk A.
  • Stoof, Henk T.C.

Abstract

Western societies have become more polarized over the last decades which forms a threat to their democracies. It is therefore important to understand the detailed mechanisms behind this polarization in the framework of opinion dynamics. Recent work has emphasized the role of the people’s interactions with (mass) media in driving polarization, in particular through the formation of echo chambers. Here, we study how these echo chambers emerge from the collective behavior of people within a social network in the presence of media. For this, we use a new agent-based model of the election dynamics in a two-party system. In this model, media are highly connected and influential nodes, which are randomly located in the network and have the role of spreading external influence (e.g. information on the state of the economy) throughout the population. The model, with properly tuned parameters can reproduce the overall properties of US election results, together with the representation of numerous details, such as the portion of non-voters. Echo chambers emerge in this model through a media-preference feedback, when voters preferentially surround themselves with media that have their political opinion. In this way, the model provides valuable information on how polarization arises through collective behavior of people and media.

Suggested Citation

  • Di Benedetto, Andrea & Wieners, Claudia E. & Dijkstra, Henk A. & Stoof, Henk T.C., 2023. "Media preference increases polarization in an agent-based election model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 626(C).
    • Handle: RePEc:eee:phsmap:v:626:y:2023:i:c:s0378437123005691
    DOI: 10.1016/j.physa.2023.129014
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    References listed on IDEAS

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    1. Galesic, Mirta & Stein, D.L., 2019. "Statistical physics models of belief dynamics: Theory and empirical tests," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 519(C), pages 275-294.
    2. Fair, Ray C, 1978. "The Effect of Economic Events on Votes for President," The Review of Economics and Statistics, MIT Press, vol. 60(2), pages 159-173, May.
    3. Pineda, M. & Buendía, G.M., 2015. "Mass media and heterogeneous bounds of confidence in continuous opinion dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 420(C), pages 73-84.
    4. Petter Törnberg & Claes Andersson & Kristian Lindgren & Sven Banisch, 2021. "Modeling the emergence of affective polarization in the social media society," PLOS ONE, Public Library of Science, vol. 16(10), pages 1-17, October.
    5. Fernando P. Santos & Yphtach Lelkes & Simon A. Levin, 2021. "Link recommendation algorithms and dynamics of polarization in online social networks," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(50), pages 2102141118-, December.
    6. Dan Braha & Marcus A M de Aguiar, 2017. "Voting contagion: Modeling and analysis of a century of U.S. presidential elections," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-30, May.
    7. Ray C. Fair, 2009. "Presidential and Congressional Vote‐Share Equations," American Journal of Political Science, John Wiley & Sons, vol. 53(1), pages 55-72, January.
    8. repec:nas:journl:v:115:y:2018:p:9216-9221 is not listed on IDEAS
    9. Grabowski, A. & Kosiński, R.A., 2006. "Ising-based model of opinion formation in a complex network of interpersonal interactions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 361(2), pages 651-664.
    Full references (including those not matched with items on IDEAS)

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