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SSRN Electronic Journal
Article . 2021 . Peer-reviewed
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Divide and Conquer: Disentangling Negative Partisanship and Affective Polarization

Authors: Mayer, Sabrina J.; Russo, Luana;

Divide and Conquer: Disentangling Negative Partisanship and Affective Polarization

Abstract

In this letter we argue that negative partisanship and affective polarization are intertwined yet distinct concepts: the first refers to identity, and the second refers to attitudes. Ignoring this distinction poses two problems at the empirical level – one of validity and one of analysis – because negative partisanship is a likely determinant for affective polarization which is often excluded from analyses, thus leading to an overestimation of the effect of positive party identification. However, current operationalization does not allow separate measurements. This depends partly on the under-conceptualization and the consequent imprecise measurement of negative partisanship. We discuss appropriate measures to use in future analyses.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
bronze