Machine Learning and US Supreme Court Oral Arguments

• In Event: Deciding to Decide: Judicial Decision Making

Brief Overview

We use a sample of 75 human-coded Supreme Court oral argument transcripts during 1971-1987 terms as training data to build a machine learning algorithm, which we then apply on an expanded sample of transcripts.

Authors

• Ryan Christopher Black, Michigan State University

• Timothy R. Johnson, University of Minnesota-Twin Cities

• Siyu Li, University of Minnesota