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Replication Data for: Cleavage Identities in Voters’ Own Words: Harnessing Open-Ended Survey Responses

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication Data for: Cleavage Identities in Voters’ Own Words: Harnessing Open-Ended Survey Responses
 
Identifier https://doi.org/10.7910/DVN/RK66RN
 
Creator Zollinger, Delia
 
Publisher Harvard Dataverse
 
Description Fundamental transformations of underlying cleavage structures in advanced democracies should become evident in new collective identities. This paper uses quantitative text analysis to investigate how voters describe their in-groups and out-groups in open-ended survey responses. I look at Switzerland, a paradigmatic case of electoral realignment along a ‘second’, universalism-particularism dimension of politics opposing the far right and the new left. Keyness statistics and a semi-supervised document scaling method (latent semantic scaling) serve to identify terms associated with the poles of this divide in voters’ responses, and hence to measure universalist/particularist identities. Based on voters’ own words, the results support the idea of collective identities consolidating an emerging cleavage: voters’ identity descriptions relate to far right versus new left support, to known socio-structural and attitudinal correlates of the universalism-particularism divide, and they reveal how groups opposed on this dimension antagonistically demarcate themselves from each other.
 
Subject Social Sciences
Group identity
Cleavages
Affective polarization
Public opinion
Voting behavior
New left and far right voting
Quantitative text analysis
 
Contributor Zollinger, Delia
 
Source Bornschier, Simon, Lukas Haffert, Silja Häusermann, Marco Steenbergen, and Delia Zollinger. 2021. “Group Identities and Political Cleavage Survey” (University of Zurich).


Bakker, Ryan, Liesbet Hooghe, Seth Jolly, Gary Marks, Jonathan Polk, Jan Rovny, Marco Steenbergen, and Milada Anna Vachudova. 2020. “1999 2019 Chapel Hill Expert Survey Trend File.” Available on chesdata.eu. Version 1.0. Chapel Hill, NC: University of North Carolina, Chapel Hill.



Bakker, Ryan, Liesbet Hooghe, Seth Jolly, Gary Marks, Jonathan Polk, Jan Rovny, Marco Steenbergen, and Milada Vachudova. 2020. “2019 Chapel Hill Expert Survey.” Version 2019.3. Available on chesdata.eu. Chapel Hill, NC: University of North Carolina, Chapel Hill.