Echo Chamber and Polarization in Social Media

An Agent-Based Modeling Approach de

Éditeur :

Springer


Collection :

Agent-Based Social Systems

Paru le : 2023-05-29

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Description

This book addresses increasingly relevant social problems enabled by social media through the lens of system science research and modeling. Instead of evaluating existing patterns from existing social media data, the book focuses on exploring the possibility of various policies. Specifically, it provides fresh insight into the political echo chamber and polarization in social media using agent-based modeling and scenario analysis.
 The book contains a practical framework to study the factors influencing echo chambers and polarization formation occurring in social media communication. By modeling individual social media users' information consumption, the influence of various behaviors and policies are captured as macro-phenomena. The book also introduces a comprehensive agent-based reinterpretation of the Zaller model, a classic in public opinion research. In addition, the book demonstrates two real-life applications of the model using empirical observations: resolving theconflicting observations of the online echo chamber effect, and modeling the influence of vaccine-related Facebook pages on users’ opinions about vaccination.
Pages
93 pages
Collection
Agent-Based Social Systems
Parution
2023-05-29
Marque
Springer
EAN papier
9789819917693
EAN PDF
9789819917709

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
9
Taille du fichier
3092 Ko
Prix
126,59 €
EAN EPUB
9789819917709

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
9
Taille du fichier
7936 Ko
Prix
126,59 €