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Replication Data for: Measuring Judicial Ideology Through Text

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NIAID Data Ecosystem2026-05-02 收录
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https://doi.org/10.7910/DVN/DLGKQF
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资源简介:
Explorations of ideology retain special significance in contemporary studies of judicial politics. While some existing methodologies draw on voting patterns and coalition alignments to map a jurist's latent features, many are otherwise reliant on supplemental proxies -- often directly from adjacent actors or via assessments from various prognosticators. We propose an alternative that not only leverages observable judicial behavior, but does so through jurists' articulations on the law. In particular, we adapt a hierarchical factor model to demonstrate how latent ideological preferences emerge through the written text of opinions. Relying on opinion content from Justices of the Supreme Court, we observe a discernible correlation between linguistic choices and latent expressions of ideology irrespective of known ideological preferences or voting patterns. Testing our method against validated and commonly used measures of judicial ideology, we find that our approach strongly correlates with existing measures. We conclude by discussing the intuitive power of text as a feature of judicial ideology, as well as how this process can extend to judicial actors and institutions beyond the Supreme Court.
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2025-05-26
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