Emotional Arousal Predicts Voting on the U.S. Supreme Court. (8th November 2018)
- Record Type:
- Journal Article
- Title:
- Emotional Arousal Predicts Voting on the U.S. Supreme Court. (8th November 2018)
- Main Title:
- Emotional Arousal Predicts Voting on the U.S. Supreme Court
- Authors:
- Dietrich, Bryce J.
Enos, Ryan D.
Sen, Maya - Abstract:
- Abstract : Do judges telegraph their preferences during oral arguments? Using the U.S. Supreme Court as our example, we demonstrate that Justices implicitly reveal their leanings during oral arguments, even before arguments and deliberations have concluded. Specifically, we extract the emotional content of over 3, 000 hours of audio recordings spanning 30 years of oral arguments before the Court. We then use the level of emotional arousal, as measured by vocal pitch, in each of the Justices' voices during these arguments to accurately predict many of their eventual votes on these cases. Our approach yields predictions that are statistically and practically significant and robust to including a range of controls; in turn, this suggests that subconscious vocal inflections carry information that legal, political, and textual information do not.
- Is Part Of:
- Political analysis. Volume 27:Number 2(2019)
- Journal:
- Political analysis
- Issue:
- Volume 27:Number 2(2019)
- Issue Display:
- Volume 27, Issue 2 (2019)
- Year:
- 2019
- Volume:
- 27
- Issue:
- 2
- Issue Sort Value:
- 2019-0027-0002-0000
- Page Start:
- 237
- Page End:
- 243
- Publication Date:
- 2018-11-08
- Subjects:
- audio, -- supreme court, -- prediction
Political science -- Methodology -- Periodicals
Electronic journals
320.011 - Journal URLs:
- http://www.jstor.org/action/showPublication?journalCode=polianalysis ↗
http://pan.oupjournals.org/ ↗
http://firstsearch.oclc.org ↗
http://firstsearch.oclc.org/journal=1047-1987;screen=info;ECOIP ↗
http://pan.oupjournals.org/ ↗ - DOI:
- 10.1017/pan.2018.47 ↗
- Languages:
- English
- ISSNs:
- 1047-1987
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6543.870020
British Library HMNTS - ELD Digital store - Ingest File:
- 13060.xml