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An Agent-Based Model of Opinion Polarization Driven by Emotions
Joint Authors
Schweitzer, Frank
Krivachy, Tamas
Garcia, David
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-10
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
We provide an agent-based model to explain the emergence of collective opinions not based on feedback between different opinions, but based on emotional interactions between agents.
The driving variable is the emotional state of agents, characterized by their valence, quantifying the emotion from unpleasant to pleasant, and their arousal, quantifying the degree of activity associated with the emotion.
Both determine their emotional expression, from which collective emotional information is generated.
This information feeds back on the dynamics of emotional states and individual opinions in a nonlinear manner.
We derive the critical conditions for emotional interactions to obtain either consensus or polarization of opinions.
Stochastic agent-based simulations and formal analyses of the model explain our results.
Possible ways to validate the model are discussed.
American Psychological Association (APA)
Schweitzer, Frank& Krivachy, Tamas& Garcia, David. 2020. An Agent-Based Model of Opinion Polarization Driven by Emotions. Complexity،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1142356
Modern Language Association (MLA)
Schweitzer, Frank…[et al.]. An Agent-Based Model of Opinion Polarization Driven by Emotions. Complexity No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1142356
American Medical Association (AMA)
Schweitzer, Frank& Krivachy, Tamas& Garcia, David. An Agent-Based Model of Opinion Polarization Driven by Emotions. Complexity. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1142356
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142356