Chen, Daniel L., Halberstam, Yosh, Kumar, Manoj and Yu, Alan (2019) Attorney voice and the U.S. supreme court. In: Law as data: computation, text, and the future of legal analysis Livermore, Michael and Rockmore, Daniel (eds.) The Santa Fe Institute Press. Santa Fe ISBN 978-1-947864-08-5

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Abstract

Using data from 1946–2014, we show that audio features of lawyers’ introductory statements improve the performance of the best prediction models of Supreme Court outcomes. We infer voice attributes using a 15-year sample of human-labeled Supreme Court advocate voices. Audio features improved prediction of case outcomes by 1.1 percentage points. Lawyer traits receive approximately half the weight of the most important feature from the models without audio features.

Item Type: Book Section
Language: English
Date: 2019
Place of Publication: Santa Fe
Subjects: B- ECONOMIE ET FINANCE
Divisions: TSE-R (Toulouse)
Site: UT1
Date Deposited: 06 Feb 2019 15:25
Last Modified: 21 Mar 2024 08:54
OAI Identifier: oai:tse-fr.eu:33353
URI: https://publications.ut-capitole.fr/id/eprint/31268
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