Artikel

The influence of community structure on opinion expression: an agent-based model

Social media has become important in shaping the public discourse on controversial topics. Many businesses therefore monitor different social media channels and try to react adequately to a potentially harmful opinion climate. Still, little is known about how opinions form in an increasingly connected world. The spiral of silence theory provides a way of explaining deviations between the perceived opinion climate and true beliefs of the public. However, the emergence of a spiral of silence on social media is hard to observe because only the thoughts of those who express their opinions are evident there. Recent research has therefore focused on modelling the processes behind the spiral of silence. A particular characteristic of social media networks is the presence of communities. Members of a community tend to be connected more with other members of the same community than with outsiders. Naturally, this might affect the development of public opinion. In the present article we investigate how the number of communities in a network and connectivity between them affects the perceived opinion climate. We find that higher connectivity between communities makes it more likely for a global spiral of silence to appear. Moreover, a network fragmented into more, smaller communities seems to provide more "safe spaces" for a minority opinion to prevail.

Sprache
Englisch

Erschienen in
Journal: Journal of Business Economics ; ISSN: 1861-8928 ; Volume: 91 ; Year: 2021 ; Issue: 9 ; Pages: 1331-1355 ; Berlin, Heidelberg: Springer

Klassifikation
Management
Statistical Simulation Methods: General
Network Formation and Analysis: Theory
Thema
Agent-based model
Spiral of silence
Network
Communities
Stochastic block model

Ereignis
Geistige Schöpfung
(wer)
Cabrera, Benjamin
Ross, Björn
Röchert, Daniel
Brünker, Felix
Stieglitz, Stefan
Ereignis
Veröffentlichung
(wer)
Springer
(wo)
Berlin, Heidelberg
(wann)
2021

DOI
doi:10.1007/s11573-021-01064-7
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Cabrera, Benjamin
  • Ross, Björn
  • Röchert, Daniel
  • Brünker, Felix
  • Stieglitz, Stefan
  • Springer

Entstanden

  • 2021

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