Measuring Judicial Sentiment:Methods and Application to U.S. Circuit Courts
26 Pages Posted: 9 Jul 2019 Last revised: 19 Aug 2021
Date Written: July 19, 2021
This paper provides a general method for analyzing the sentiments expressed in the language of judicial rulings. We apply natural language processing tools to the text of U.S. appellate court opinions to extrapolate judges' sentiments (positive/good vs. negative/bad) toward a number of target social groups. We explore descriptively how these sentiments vary over time and across types of judges. In addition, we provide a method for using random assignment of judges in an instrumental variables framework to estimate causal effects of judges' sentiments. In an empirical application, we show that more positive sentiment influences future judges by increasing the likelihood of reversal but also increasing the number of forward citations.
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