Ressource pédagogique : Opinion polarization and network segregation. Modelling a complex Relationship

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 ...
cours / présentation - Date de création : 24-06-2021
Auteur(s) : Andreas FLACHE
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Présentation de: Opinion polarization and network segregation. Modelling a complex Relationship

Informations pratiques sur cette ressource

Anglais
Type pédagogique : cours / présentation
Niveau : doctorat, formation continue
Durée d'exécution : 1 heure 5 minutes 6 secondes
Contenu : image en mouvement
Document : video/mp4
Taille : 269.88 Mo
Droits : libre de droits, gratuit
Droits réservés à l'éditeur et aux auteurs.

Description de la ressource pédagogique

Description (résumé)

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.  

"Domaine(s)" et indice(s) Dewey

  • Sciences sociales (études de comportement, études sociales) (300)

Intervenants, édition et diffusion

Intervenants

Fournisseur(s) de contenus : INRIA (Institut national de recherche en informatique et automatique), CNRS - Centre National de la Recherche Scientifique

Diffusion

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AUTEUR(S)

  • Andreas FLACHE

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  • Identifiant de la fiche
    62469
  • Identifiant
    oai:canal-u.fr:62469
  • Schéma de la métadonnée
  • Entrepôt d'origine
    Canal-u.fr