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Chen, Daniel L.
(2018)
Attorney voice and the U.S. supreme Court.
IAST Working Paper, n. 18-91, Toulouse
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Official URL : http://iast.fr/pub/33156
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: | Monograph (Working Paper) |
|---|---|
| Language: | English |
| Date: | December 2018 |
| Place of Publication: | Toulouse |
| Subjects: | B- ECONOMIE ET FINANCE |
| Divisions: | TSE-R (Toulouse) |
| Institution: | Université Toulouse 1 Capitole |
| Site: | UT1 |
| Date Deposited: | 20 Jul 2023 12:55 |
| Last Modified: | 05 Apr 2024 08:20 |
| OAI Identifier: | oai:tse-fr.eu:33156 |
| URI: | https://publications.ut-capitole.fr/id/eprint/48124 |
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- Attorney voice and the U.S. supreme Court. (deposited 20 Jul 2023 12:55) [Currently Displayed]
