Steiglechner, Peter ORCID: https://orcid.org/0000-0002-1937-5983, Smaldino, Paul E., Moser, Deyshawn ORCID: https://orcid.org/0000-0003-1789-9393 and Merico, Agostino ORCID: https://orcid.org/0000-0001-8095-8056 (2023) Social identity bias and communication network clustering interact to shape patterns of opinion dynamics. Journal of The Royal Society Interface, 20 (209). DOI https://doi.org/10.1098/rsif.2023.0372.

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Abstract

Social influence aligns people's opinions, but social identities and related in-group biases interfere with this alignment. For instance, the recent rise of young climate activists (e.g. ‘Fridays for Future’ or ‘Last Generation’) has highlighted the importance of generational identities in the climate change debate. It is unclear how social identities affect the emergence of opinion patterns, such as consensus or disagreement, in a society. Here, we present an agent-based model to explore this question. Agents communicate in a network and form opinions through social influence. The agents have fixed social identities which involve homophily in their interaction preferences and in-group bias in their perception of others. We find that the in-group bias has opposing effects depending on the network topology. The bias impedes consensus in highly random networks by promoting the formation of echo chambers within social identity groups. By contrast, the bias facilitates consensus in highly clustered networks by aligning dispersed in-group agents across the network and, thereby, preventing the formation of isolated echo chambers. Our model uncovers the mechanisms underpinning these opposing effects of the in-group bias and highlights the importance of the communication network topology for shaping opinion dynamics.

Document Type: Article
Programme Area: PA2
Research affiliation: Social Sciences > Institutional and Behavioural Economics
Integrated Modelling > Systems Ecology
Refereed: Yes
Open Access Journal?: No
DOI: https://doi.org/10.1098/rsif.2023.0372
ISSN: 1742-5662
Date Deposited: 20 Dec 2023 07:41
Last Modified: 20 Dec 2023 07:41
URI: http://cris.leibniz-zmt.de/id/eprint/5307

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