2015
DOI: 10.1177/1077699015596328
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Does Disagreement Mitigate Polarization? How Selective Exposure and Disagreement Affect Political Polarization

Abstract: This study examines how selective exposure and interpersonal political disagreement influence political polarization. Using data sets from two countries, the United States and South Korea, this study investigates the association between individuals' selective exposure and attitude polarization and proposes that disagreement in political discussion networks can be a potential moderating variable attenuating the association between selective exposure and polarization. Results across the two nations confirm that … Show more

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Cited by 85 publications
(56 citation statements)
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References 65 publications
(120 reference statements)
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“…Our study not only corroborates such findings, but also suggests that, if anything, individual‐level attitudinal compositions of interpersonal environments and various contextual factors also may critically moderate the spiral process between exposure and its attitudinal effect. Indeed, several prior studies, although anecdotally, suggest that exposure to disagreement within interpersonal political discussion networks is likely to be a key moderating mechanism that limits or enhances persuasive (or counterpersuasive) effects of partisan exposure on one's attitudes (e.g., Kim, ; Neiheisel & Niebler, ), which lends considerable support to the results of our study. To be sure, the system‐level generative consequences such as increasing polarization patterns critically depend on the specific distribution of such factors—which we believe, ultimately, would be an empirical question that requires large‐scale, detailed real‐world data.…”
Section: Discussionsupporting
confidence: 81%
“…Our study not only corroborates such findings, but also suggests that, if anything, individual‐level attitudinal compositions of interpersonal environments and various contextual factors also may critically moderate the spiral process between exposure and its attitudinal effect. Indeed, several prior studies, although anecdotally, suggest that exposure to disagreement within interpersonal political discussion networks is likely to be a key moderating mechanism that limits or enhances persuasive (or counterpersuasive) effects of partisan exposure on one's attitudes (e.g., Kim, ; Neiheisel & Niebler, ), which lends considerable support to the results of our study. To be sure, the system‐level generative consequences such as increasing polarization patterns critically depend on the specific distribution of such factors—which we believe, ultimately, would be an empirical question that requires large‐scale, detailed real‐world data.…”
Section: Discussionsupporting
confidence: 81%
“…The primary test of our hypotheses, in addition to our alternative test separating out similar and dissimilar discussion, suggests that increases in similar discussion, rather than changes to discussion with dissimilar others is responsible for the observed relationships with affective polarization. This is worth further exploration as some prior scholarship has determined that dissimilar discussion can drive these relationships (Bello & Rolfe, 2014;Hutchens, Hmielowski, & Beam, 2015;Kim, 2015). There are several potential explanations for the lack of relationships between polarization and dissimilar discussion over time.…”
Section: Discussionmentioning
confidence: 96%
“…Previous research has highlighted the importance of ethnic/racial diversity in adolescents' and emerging adults' schools and social networks for fostering greater generalized trust (Stolle & Harell, 2013) and positive intergroup attitudes (Graham, 2018). There is also evidence that active SNS use increases users' exposure to dissimilar political views (Bakshy, Messing, & Adamic, 2015;Kim, 2011) and that political disagreements on SNS can actually reduce associations between selective likeminded media use and political polarization (Kim, 2015).…”
Section: The Role Of Network Heterogeneity In Bridging Social Capitalmentioning
confidence: 99%