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Understanding Polarization: Meanings, Measures, and Model Evaluation

Bramson, Aaron ; Grim, Patrick ; Singer, Daniel J. ; Berger, William J. ; Sack, Graham ; Fisher, Steven ; Flocken, Carissa ; Holman, Bennett

Philosophy of science, 2017-01, Vol.84 (1), p.115-159 [Periódico revisado por pares]

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Título:
Understanding Polarization: Meanings, Measures, and Model Evaluation
Autor: Bramson, Aaron ; Grim, Patrick ; Singer, Daniel J. ; Berger, William J. ; Sack, Graham ; Fisher, Steven ; Flocken, Carissa ; Holman, Bennett
Assuntos: Measurement ; Philosophy of science ; Public opinion ; Social psychology ; Social sciences
É parte de: Philosophy of science, 2017-01, Vol.84 (1), p.115-159
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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Descrição: Polarization is a topic of intense interest among social scientists, but there is significant disagreement regarding the character of the phenomenon and little understanding of underlying mechanics. A first problem, we argue, is that polarization appears in the literature as not one concept but many. In the first part of the article, we distinguish nine phenomena that may be considered polarization, with suggestions of appropriate measures for each. In the second part of the article, we apply this analysis to evaluate the types of polarization generated by the three major families of computational models proposing specific mechanisms of opinion polarization.
Editor: Cambridge: University of Chicago Press
Idioma: Inglês

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