Affective polarization in a word: Open-ended and self-coded evaluations of partisan affect.

The literature finds that partisanship drives negative emotional evaluations of out-partisans. Yet, scholars base these insights on measures-like thermometers, candidate evaluations, and social-distance measures-that discount the sentiment attached to individuals' negative attitudes. We introdu...

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Main Authors: Spencer Kiesel, Sharif Amlani
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0310772
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author Spencer Kiesel
Sharif Amlani
author_facet Spencer Kiesel
Sharif Amlani
author_sort Spencer Kiesel
collection DOAJ
description The literature finds that partisanship drives negative emotional evaluations of out-partisans. Yet, scholars base these insights on measures-like thermometers, candidate evaluations, and social-distance measures-that discount the sentiment attached to individuals' negative attitudes. We introduce a unique measure of affect capturing the motivation underpinning partisans' attitudes. Our measure asks respondents for one-word to describe voters in their party and the opposing party. Then respondents code the sentiment behind their word choice themselves. Together, our measure produces qualitative and quantitative measures of respondents' affect. We find that our self-coded open-ended measure has strong face validity and correlates strongly with existing affect measures. This measure advances our understating of partisan affect by allowing scholars a window into respondents' state of mind. Scholars can easily apply our measure's procedure beyond partisanship to other groups of interest.
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institution Kabale University
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publisher Public Library of Science (PLoS)
record_format Article
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spelling doaj-art-9609bde5f65a4deebdc06a8ef65bff342025-02-05T05:31:19ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01201e031077210.1371/journal.pone.0310772Affective polarization in a word: Open-ended and self-coded evaluations of partisan affect.Spencer KieselSharif AmlaniThe literature finds that partisanship drives negative emotional evaluations of out-partisans. Yet, scholars base these insights on measures-like thermometers, candidate evaluations, and social-distance measures-that discount the sentiment attached to individuals' negative attitudes. We introduce a unique measure of affect capturing the motivation underpinning partisans' attitudes. Our measure asks respondents for one-word to describe voters in their party and the opposing party. Then respondents code the sentiment behind their word choice themselves. Together, our measure produces qualitative and quantitative measures of respondents' affect. We find that our self-coded open-ended measure has strong face validity and correlates strongly with existing affect measures. This measure advances our understating of partisan affect by allowing scholars a window into respondents' state of mind. Scholars can easily apply our measure's procedure beyond partisanship to other groups of interest.https://doi.org/10.1371/journal.pone.0310772
spellingShingle Spencer Kiesel
Sharif Amlani
Affective polarization in a word: Open-ended and self-coded evaluations of partisan affect.
PLoS ONE
title Affective polarization in a word: Open-ended and self-coded evaluations of partisan affect.
title_full Affective polarization in a word: Open-ended and self-coded evaluations of partisan affect.
title_fullStr Affective polarization in a word: Open-ended and self-coded evaluations of partisan affect.
title_full_unstemmed Affective polarization in a word: Open-ended and self-coded evaluations of partisan affect.
title_short Affective polarization in a word: Open-ended and self-coded evaluations of partisan affect.
title_sort affective polarization in a word open ended and self coded evaluations of partisan affect
url https://doi.org/10.1371/journal.pone.0310772
work_keys_str_mv AT spencerkiesel affectivepolarizationinawordopenendedandselfcodedevaluationsofpartisanaffect
AT sharifamlani affectivepolarizationinawordopenendedandselfcodedevaluationsofpartisanaffect