Journal
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
Volume 589, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.physa.2021.126623
Keywords
Extremism; Opinion dynamics; CODA; Sociophysics
Categories
Funding
- Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP), Brazil [2019/26987-2]
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This paper explores the definitions and implementations of extremism in different opinion dynamics models, and suggests that Bayesian inspired opinion models can provide a perspective to better address the differences, thereby tackling the problem of extremism more effectively.
There are several opinion dynamics models where extremism is defined as part of their characteristics. However, the way extremism is implemented in each model does not correspond to equivalent definitions. While some models focus on one aspect of the problem, others focus on different characteristics. This paper shows how each model only captures part of the problem and how Bayesian inspired opinion models can help put those differences in perspective. That discussion suggests new ways to introduce variables that can represent the problem of extremism better than we do today. (c) 2021 Elsevier B.V. All rights reserved.
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