Media preference increases polarization in an agent-based election model

Publication date

2023-09-15

Authors

di Benedetto, AndreaISNI 0000000518085396
Wieners, Claudia E.ISNI 0000000492614228
Dijkstra, HenkISNI 0000000023267948
Stoof, H.T.C.ISNI 0000000116481361

Editors

Advisors

Supervisors

Document Type

Article
Open Access logo

License

cc_by

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.

Keywords

Complex systems, Polarization, Collective behavior, Quantitative social science, Agent based models

Citation

di Benedetto, A, Wieners, C, Dijkstra, H & Stoof, H 2023, 'Media preference increases polarization in an agent-based election model', Physica A: Statistical Mechanics and its Applications, vol. 626, 129014. https://doi.org/10.1016/j.physa.2023.129014, https://doi.org/10.1016/j.physa.2023.129014