2022
DOI: 10.31235/osf.io/y8t5b
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How Warm are Partisan Political Interactions? A Frequency-based Measure of Affective Fractionalization

Abstract: Affective polarization measures account for partisans’ feelings towards their own party versus its opponent(s), irrespective of how frequently partisans encounter co-partisans versus out-partisans in everyday interactions and public discourse. However, the social impact of cross-party hostility depends on both the intensity of dislike and the frequency with which this comes into play. We develop an affective fractionalization measure that accounts for both factors and apply it to longitudinal survey data from … Show more

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Cited by 2 publications
(2 citation statements)
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“…In most Western publics, party systems have fractionalized in recent decades (Hudde et al 2022). Suppose we randomly draw two voters in Germany.…”
Section: Data Visualizationmentioning
confidence: 99%
See 1 more Smart Citation
“…In most Western publics, party systems have fractionalized in recent decades (Hudde et al 2022). Suppose we randomly draw two voters in Germany.…”
Section: Data Visualizationmentioning
confidence: 99%
“…Since then, that chance has dropped sharply to about 20 percent in 2021. Fractionalization increases the importance of out-partisan dislike: the more often people can expect to encounter supporters from other parties (which is a function of fractionalization and network segregation), the more important it is that they get along with them (Hudde et al 2022).…”
mentioning
confidence: 99%