Opinion polarization and network segregation. Modelling a complex Relationship

Réalisation : 24 juin 2021 Mise en ligne : 24 juin 2021
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Recently, many societies seem to shift towards more polarization and volatility in opinions, for example in attitudes about immigration, climate policy, or the best policy response to Covid-19. A key obstacle for a scientific understanding of this development is that opinion dynamics in society involve a complex micro-macro interaction between processes of social influence occurring at the micro-level, meso-level conditions like network structures, and macro-level outcomes, like consensus, opinion-clustering or polarization. I will discuss how agent-based simulation models (ABM) can be used to further our understanding how micro-level processes relate to macro-level dynamics in opinion formation. Computational agent-based models will be presented that highlight alternative and competing theoretical  perspectives, some suggesting that network segregation between different groups fosters polarizations, other pointing to the opposite possibility. I will also discuss how empirical research using experiments and social network data can help to test model implications.


Langue :
CNRS - Centre National de la Recherche Scientifique (Publication), INRIA (Institut national de recherche en informatique et automatique) (Publication)
Conditions d'utilisation
Droit commun de la propriété intellectuelle
Citer cette ressource:
Inria. (2021, 24 juin). Opinion polarization and network segregation. Modelling a complex Relationship. [Vidéo]. Canal-U. (Consultée le 20 mai 2022)

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