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Using Twitter to Study Public Discourse in the Wake of Judicial Decisions

Public Reactions to the Supreme Court’s Same-Sex-Marriage Cases

Published online by Cambridge University Press:  21 October 2022

Tom S. Clark*
Affiliation:
Emory University
Jeffrey K. Staton
Affiliation:
Emory University
Yu Wang
Affiliation:
Emory University
Eugene Agichtein
Affiliation:
Emory University
*
Contact the corresponding author, Tom S. Clark, at [email protected].

Abstract

At the intersection of behavioral and institutional studies of policy making lie a series of questions about how elite choices affect mass public opinion. Scholars have considered how judicial decisions—especially US Supreme Court decisions—affect individuals’ support for specific policy positions. These studies yield a series of competing findings. Whereas past research uses opinion surveys to assess how individuals’ opinions are shaped, we believe that modern techniques for analyzing social media provide analytic leverage that traditional approaches do not offer. We present a framework for employing Twitter data to study mass opinion discourse. We find that the Supreme Court’s decisions relating to same-sex marriage in 2013 had significant effects on how the public discussed same-sex marriage and had a polarizing effect on mass opinion. We conclude by connecting these findings and our analyses to larger problems and debates in the area of democratic deliberation and big-data analysis.

Type
Research Article
Copyright
© 2018 by the Law and Courts Organized Section of the American Political Science Association. All rights reserved.

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Footnotes

We thank Shana Gadarian, John Kastellec, Markus Prior, and Chris Zorn for helpful comments and suggestions. We thank Leeann Bass, Nate Edwards, Alicia Ju, and Ashley Moraguez for research assistance. Previous versions of this article were presented at the University of Mannheim, the 2014 meeting of the Midwest Political Science Association, the 2014 meeting of the European Consortium on Political Research, and the Second Annual Atlanta Computational Social Science Workshop.

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