Attorney Voice and the U.S. Supreme Court

Chen, Daniel L. (2019) Attorney Voice and the U.S. Supreme Court. Computational Analysis of Law. (In Press)

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Official URL: http://tse-fr.eu/pub/33353

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: Article
Language: English
Date: 2019
Refereed: Yes
Subjects: B- ECONOMIE ET FINANCE
Divisions: TSE-R (Toulouse)
Site: UT1
Date Deposited: 06 Feb 2019 15:25
Last Modified: 06 Feb 2019 15:25
OAI ID: oai:tse-fr.eu:33353
URI: http://publications.ut-capitole.fr/id/eprint/31268

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