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Ethnic segregation and spatial patterns of attitudes: studying the link using register data and social simulation

Author

Listed:
  • Thomas Feliciani

    (University of Groningen)

  • Jochem Tolsma

    (University of Groningen
    Radboud University)

  • Andreas Flache

    (University of Groningen)

Abstract

We theorize the causal link between ethnic residential segregation and polarization of ethnic attitudes within and between ethnic groups (e.g. attitudes towards immigration policies, multiculturalism, tolerance or trust in certain ethnic groups). We propose that the complex relationship between segregation and polarization might be explained by three assumptions: (1) ethnic membership moderates social influence–residents influence each other’s attitudes and their ethnic background moderates this influence; (2) spatial proximity between residents increases opportunities for influence; (3) the degree of ethnic segregation varies across space–and therefore, the mix of intra- and inter-ethnic influence also varies across space. We borrow and extend an (agent-based) simulation model of social influence to systematically explore how these three assumptions affect the polarization of ethnic attitudes within and between ethnic groups under the assumptions made in the model. We simulate neighborly interactions and social influence dynamics in the districts of Rotterdam, using empirically observed segregation patterns as input of our simulations. According to our model, polarization in ethnic attitudes is stronger in districts and parts of districts where mixing of ethnic groups allows for many opportunities to interact with both the ethnic ingroup and the outgroup. Our study provides a new theoretical perspective on polarization of ethnic attitudes by demonstrating that the segregation-polarization link can emerge as an unintended outcome from repeated intra- and inter-ethnic interactions in segregated spaces.

Suggested Citation

  • Thomas Feliciani & Jochem Tolsma & Andreas Flache, 2023. "Ethnic segregation and spatial patterns of attitudes: studying the link using register data and social simulation," Journal of Computational Social Science, Springer, vol. 6(2), pages 877-921, October.
  • Handle: RePEc:spr:jcsosc:v:6:y:2023:i:2:d:10.1007_s42001-023-00216-9
    DOI: 10.1007/s42001-023-00216-9
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    References listed on IDEAS

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    1. Károly Takács & Andreas Flache & Michael Mäs, 2016. "Discrepancy and Disliking Do Not Induce Negative Opinion Shifts," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-21, June.
    2. Andreas Flache & Michael Mäs, 2008. "How to get the timing right. A computational model of the effects of the timing of contacts on team cohesion in demographically diverse teams," Computational and Mathematical Organization Theory, Springer, vol. 14(1), pages 23-51, March.
    3. Thomas Feliciani & Andreas Flache & Jochem Tolsma, 2017. "How, when and where can Spatial Segregation Induce Opinion Polarization? Two Competing Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(2), pages 1-6.
    4. Ravi Bhavnani & Karsten Donnay & Dan Miodownik & Maayan Mor & Dirk Helbing, 2014. "Group Segregation and Urban Violence," American Journal of Political Science, John Wiley & Sons, vol. 58(1), pages 226-245, January.
    5. Bail, Christopher A. & Argyle, Lisa & Brown, Taylor & Bumpus, John & Chen, Haohan & Hunzaker, M.B. Fallin & Lee, Jaemin & Mann, Marcus & Merhout, Friedolin & Volfovsky, Alexander, 2018. "Exposure to Opposing Views can Increase Political Polarization: Evidence from a Large-Scale Field Experiment on Social Media," SocArXiv 4ygux_v1, Center for Open Science.
    6. Riccardo Boero & Flaminio Squazzoni, 2005. "Does Empirical Embeddedness Matter? Methodological Issues on Agent-Based Models for Analytical Social Science," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(4), pages 1-6.
    7. Pierre-Alexandre Balland, 2012. "Proximity and the Evolution of Collaboration Networks: Evidence from Research and Development Projects within the Global Navigation Satellite System (GNSS) Industry," Regional Studies, Taylor & Francis Journals, vol. 46(6), pages 741-756, September.
    8. Edmund Chattoe-Brown, 2014. "Using Agent Based Modelling to Integrate Data on Attitude Change," Sociological Research Online, , vol. 19(1), pages 159-174, February.
    9. Michael Mäs & Andreas Flache, 2013. "Differentiation without Distancing. Explaining Bi-Polarization of Opinions without Negative Influence," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-17, November.
    10. Gerald Mollenhorst & Beate Völker & Veronique Schutjens, 2009. "Neighbour Relations In The Netherlands – A Decade Of Evidence," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 100(4), pages 549-558, September.
    11. Andreas Flache & Michael Mäs & Thomas Feliciani & Edmund Chattoe-Brown & Guillaume Deffuant & Sylvie Huet & Jan Lorenz, 2017. "Models of Social Influence: Towards the Next Frontiers," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(4), pages 1-2.
    12. Bail, Christopher A. & Argyle, Lisa & Brown, Taylor & Bumpus, John & Chen, Haohan & Hunzaker, M.B. Fallin & Lee, Jaemin & Mann, Marcus & Merhout, Friedolin & Volfovsky, Alexander, 2018. "Exposure to Opposing Views can Increase Political Polarization: Evidence from a Large-Scale Field Experiment on Social Media," SocArXiv 4ygux, Center for Open Science.
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