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A Weighted Balance Model of Opinion Hyperpolarization

Simon Schweighofer (), Frank Schweitzer () and David Garcia ()
Additional contact information
Simon Schweighofer: https://www.csh.ac.at/researcher/simon-schweighofer/
Frank Schweitzer: https://www.sg.ethz.ch/
David Garcia: https://dgarcia.eu/

Journal of Artificial Societies and Social Simulation, 2020, vol. 23, issue 3, 5

Abstract: Polarization is threatening the stability of democratic societies. Until now, polarization research has focused on opinion extremeness, overlooking the correlation between different policy issues. In this paper, we explain the emergence of hyperpolarization, i.e., the combination of extremeness and correlation between issues, by developing a new theory of opinion formation called "Weighted Balance Theory (WBT)". WBT extends Heider's cognitive balance theory to encompass multiple weighted attitudes. We validated WBT on empirical data from the 2016 National Election Survey. Furthermore, we developed an opinion dynamics model based on WBT, which, for the first time, is able to generate hyperpolarization and to explain the link between affective and opinion polarization. Finally, our theory encompasses other phenomena of opinion dynamics, including mono-polarization and backfire effects.

Keywords: Polarization; Balance Theory; Opinion Dynamics; Agent-Based Modeling (search for similar items in EconPapers)
Date: 2020-06-30
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Persistent link: https://EconPapers.repec.org/RePEc:jas:jasssj:2019-166-3

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