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 |
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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: | 23 May 2024 08:15 |
OAI Identifier: | oai:tse-fr.eu:33353 |
URI: | https://publications.ut-capitole.fr/id/eprint/31268 |
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Attorney voice and the U.S. supreme Court. (deposited 20 Jul 2023 12:55)
- Attorney voice and the U.S. supreme court. (deposited 06 Feb 2019 15:25) [Currently Displayed]