Understanding polarization: Meanings, measures, and model evaluation

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

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)115-159
Number of pages45
JournalPhilosophy of Science
Volume84
Issue number1
DOIs
Publication statusPublished - 2017 Jan 1

Fingerprint

Model Evaluation
Polarization
Computational Model

All Science Journal Classification (ASJC) codes

  • History
  • Philosophy
  • History and Philosophy of Science

Cite this

Bramson, A., Grim, P., Singer, D. J., Berger, W. J., Sack, G., Fisher, S., ... Holman, B. (2017). Understanding polarization: Meanings, measures, and model evaluation. Philosophy of Science, 84(1), 115-159. https://doi.org/10.1086/688938
Bramson, Aaron ; Grim, Patrick ; Singer, Daniel J. ; Berger, William J. ; Sack, Graham ; Fisher, Steven ; Flocken, Carissa ; Holman, Bennett. / Understanding polarization : Meanings, measures, and model evaluation. In: Philosophy of Science. 2017 ; Vol. 84, No. 1. pp. 115-159.
@article{4bb4db304efe405ab508447982017c1f,
title = "Understanding polarization: Meanings, measures, and model evaluation",
abstract = "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.",
author = "Aaron Bramson and Patrick Grim and Singer, {Daniel J.} and Berger, {William J.} and Graham Sack and Steven Fisher and Carissa Flocken and Bennett Holman",
year = "2017",
month = "1",
day = "1",
doi = "10.1086/688938",
language = "English",
volume = "84",
pages = "115--159",
journal = "Philosophy of Science",
issn = "0031-8248",
publisher = "University of Chicago",
number = "1",

}

Bramson, A, Grim, P, Singer, DJ, Berger, WJ, Sack, G, Fisher, S, Flocken, C & Holman, B 2017, 'Understanding polarization: Meanings, measures, and model evaluation', Philosophy of Science, vol. 84, no. 1, pp. 115-159. https://doi.org/10.1086/688938

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.

In: Philosophy of Science, Vol. 84, No. 1, 01.01.2017, p. 115-159.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Understanding polarization

T2 - Meanings, measures, and model evaluation

AU - Bramson, Aaron

AU - Grim, Patrick

AU - Singer, Daniel J.

AU - Berger, William J.

AU - Sack, Graham

AU - Fisher, Steven

AU - Flocken, Carissa

AU - Holman, Bennett

PY - 2017/1/1

Y1 - 2017/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85006372808&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85006372808&partnerID=8YFLogxK

U2 - 10.1086/688938

DO - 10.1086/688938

M3 - Article

AN - SCOPUS:85006372808

VL - 84

SP - 115

EP - 159

JO - Philosophy of Science

JF - Philosophy of Science

SN - 0031-8248

IS - 1

ER -

Bramson A, Grim P, Singer DJ, Berger WJ, Sack G, Fisher S et al. Understanding polarization: Meanings, measures, and model evaluation. Philosophy of Science. 2017 Jan 1;84(1):115-159. https://doi.org/10.1086/688938