Inferring models of opinion dynamics from aggregated jury data.
Jury deliberations provide a quintessential example of collective decision-making, but few studies have probed the available data to explore how juries reach verdicts. We examine how features of jury dynamics can be better understood from the joint distribution of final votes and deliberation time....
Main Authors: | Keith Burghardt, William Rand, Michelle Girvan |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2019-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0218312 |
Similar Items
-
Multilevel Potential Outcome Models for Causal Inference in Jury Research
Published: (2015) -
The myopia of crowds: Cognitive load and collective evaluation of answers on Stack Exchange.
by: Keith Burghardt, et al.
Published: (2017-01-01) -
The criminal jury at trial. The doctrinal opinions of French authors (1750-1830)
by: Sylvain Soleil
Published: (2021-08-01) -
Data mining techniques for constructing jury selection models
by: Espy, John
Published: (2014) -
The jury as legal ideology : a jurisprudence of the control of the jury
by: Jolly, Simon
Published: (1997)