eprintid: 48124
rev_number: 9
eprint_status: archive
userid: 1482
importid: 105
dir: disk0/00/04/81/24
datestamp: 2023-07-20 12:55:30
lastmod: 2024-04-05 08:20:29
status_changed: 2024-04-05 08:20:20
type: monograph
metadata_visibility: show
creators_name: Chen, Daniel L.
creators_id: daniel.chen@iast.fr
creators_idrefppn: 241586631
creators_affiliation: Toulouse School of Economics; Institute for Advanced Study in Toulouse; Centre national de la recherche scientifique
creators_halaffid: 1002422; 506116; 441569
title: Attorney voice and the U.S. supreme Court
ispublished: pub
subjects: subjects_ECO
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.
date: 2018-12
date_type: published
publisher: IAST Working Paper
official_url: http://iast.fr/pub/33156
faculty: tse
divisions: tse
language: en
has_fulltext: TRUE
view_date_year: 2018
full_text_status: public
monograph_type: working_paper
series: IAST Working Paper
volume: 18-91
place_of_pub: Toulouse
pages: 18
institution: Université Toulouse 1 Capitole
book_title: IAST Working Paper
oai_identifier: oai:tse-fr.eu:33156
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oai_lastmod: 2024-03-15T15:27:43Z
oai_set: tse
site: ut1
hal_id: hal-04533829
hal_passwd: jde1y#1m
hal_version: 1
hal_url: https://hal.science/hal-04533829
citation:   Chen, Daniel L. <https://www.idref.fr/241586631>  (2018) Attorney voice and the U.S. supreme Court.  IAST Working Paper, n. 18-91, Toulouse     
document_url: https://publications.ut-capitole.fr/id/eprint/48124/1/Attorney_Voice_and_the_US_Supreme_Court_LawAsData.pdf