Cognitive political networks: A structural approach to measure political polarization in multiparty systems

Ertan, Güneş; Çarkoğlu, Alı; Aytaç, S. Erdem

doi:10.1016/j.socnet.2021.05.004

Cited by 8 publications

(10 citation statements)

References 42 publications

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“…The person-specific belief systems, however, are best suited for filling the methodological gap identified earlier. Researchers can correlate data from these estimates with other 3 A related and concurrently developed method has been used to assess how people think about political parties working together in a multi-party political system (Ertan, Çarkoğlu, & Aytaç, 2022). This approach, however, has not been validated by testing it against theoretical predictions.…”

Section: Conceptually Similarity Judgmentsmentioning

confidence: 99%

“…This includes their use to assess the conceptual structure of traits (Stolier et al, 2020). Another study has applied a similar method to understand how people think about political parties working together in a multi-party political system (Ertan et al, 2022). Fifth, and most importantly, it has the potential to estimate the structure of individual belief systems without relying on problematic cross-sectional correlations.…”

Section: Benefitsmentioning

confidence: 99%

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Measuring the belief system of a person.

Brandt¹

2022

Journal of Personality and Social Psychology

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Theories of belief system structure and dynamics assume that belief systems are a person-level construct. However, measures of belief system structure do not measure the structure of person-level belief systems and instead measure aggregated belief system structure (e.g., the belief system in a particular country). In this paper, I show that a measure of conceptual similarity between attitudes and identities of a belief system works as a valid, reliable, flexible, and efficient measure of person-level belief system structure in the United States. In Studies 1 (N = 387), 2 (N = 389), and 3 (N = 598), I show conceptual similarity judgments are reliable and are related to measures of political engagement, political knowledge, attitude consistency, and preference congruence as predicted by computational models of belief system dynamics. In Studies 4 (N = 981) and 5 (N = 983), I show that conceptual similarity judgments are affected by partisan frames and that changes in conceptual similarity judgments are associated with attitude change as predicted by computational models of belief system dynamics. Conceptual similarity judgments can be used with a variety of attitudes and identities in easy to administer studies. It provides a tool to fill an empirical gap identified by theories of belief system dynamics.

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Section: Conceptually Similarity Judgmentsmentioning

confidence: 99%

Section: Benefitsmentioning

confidence: 99%

Measuring the belief system of a person.

Brandt¹

2022

Journal of Personality and Social Psychology

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“…Ertan et al [42] argued that there is a well-established literature on measuring political polarization in two-party systems, but very limited for multi-party systems. They proposed measuring polarization for multiparty systems from survey studies.…”

Section: Homophilymentioning

confidence: 99%

“…User's ego-centric network and survey data were combined to test the experiment's effect on justification for suicide bombings. Two complementary echo chamber measures were used: modularity (see Section 3.2) and E-I index [80] (see also Section 3.1 and Ertan et al [42]). The authors found a statistically significant interaction between the treatment and the two echo chamber measures.…”

Section: Political Polarizationmentioning

confidence: 99%

Network polarization, filter bubbles, and echo chambers: An annotated review of measures, models, and case studies

Interian¹,

Marzo²,

Bernardini³

et al. 2022

Preprint

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Polarization arises when the underlying network connecting the members of a society is formed by highly connected groups with weak intergroup connectivity. The increasing polarization, the strengthening of echo chambers, and the isolation caused by information filters in social networks are increasingly attracting the attention of researchers from different areas of knowledge such as computer science, economics, social and political sciences. Despite hundreds of publications in this area, there was little effort to systematize or present the knowledge developed in the field in an organized way. This study presents an annotated review of network polarization measures, models used to handle existing polarization, their applications, and case studies. Altogether, 405 scientific articles and conference papers were examined, with 74 filtered for this review. Several approaches for measuring polarization in graphs and networks were identified, including those based on homophily, modularity, random walks, and balance theory. The models used for reducing polarization included methods that propose edge or node editions (including edge insertions or deletions, and edge weight modifications), changes in social network design, or changes in the recommendation systems embedded in these networks. This review will be helpful to researchers investigating polarized social networks from a theoretical and applied perspective.

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“…Some scholars have noted Turkey’s recent political polarization due to the divisive discourse of elites while partisan considerations strongly influenced voters’ opinions regarding many salient social and political issues (Aytaç et al, 2017 ; Ertan et al, 2022 ). We believe that the attribution of poverty according to political views is important since different people because this leads to support for different poverty elimination policies.…”

Section: Introductionmentioning

confidence: 99%

Determinants of the Attribution of Poverty in Turkey: An Empirical Analysis

Özpinar

Akdede

2022

Soc Indic Res

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This study explored poverty attribution in terms of socio-economic factors, based on a survey of 1,110 participants living Turkey’s three largest cities, namely Istanbul, Ankara, and Izmir. We include the following socio-economic variables: income, subjective class status, subjective destiny perception, education level, political position, gender, marital status, and age. Participants with higher education levels mostly explain poverty using structural reasons whereas participants with lower education levels tend to explain it with fatalistic reasons. Left- wing participants tend to explain poverty in terms of structural factors for reasons whereas right-wing participants tend to give individualistic reasons. Finally, men tend to offer more individualistic attributions of poverty than women do. Individualistic and structuralist approaches agree on several specific policies for reducing poverty whereas the fatalistic approach suggests different policies.

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Cognitive political networks: A structural approach to measure political polarization in multiparty systems

Cited by 8 publications

References 42 publications

Measuring the belief system of a person.

Measuring the belief system of a person.

Network polarization, filter bubbles, and echo chambers: An annotated review of measures, models, and case studies

Determinants of the Attribution of Poverty in Turkey: An Empirical Analysis

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