Judge’s Gender and Oral Language Skills: An Empirical Analysis of Chinese Courtroom Audio

Study investigating whether there is a performance disparity between men and women in a patriarchal institution by using machine-learning on audio data.(Under Review)

By Dong Erico Yu, Yuehong Cassandra Tai in Research

Abstract

Is there a performance disparity between men and women in a patriarchal institution? We try to investigate this question to the current gender stereotype and egalitarianism debate. Enlightened by a recent study of the vocal data of Supreme Court justices, we apply a machine-learning algorithm to an original dataset of audio of 1,400 criminal trials in the Chinese courtroom, identifying cues of Standard Mandarin (Putonghua) proficiency of judges. We find that men and women judges, despite in a patriarchal institution, are equally competent in the oral presentation. Our analysis sheds light on the research approach of audio data and supplements the existing scholarship in the relationship between gender and language use in politics.

Conference

MPSA 2021 APSA 2021

Chinese Online Court Trail

online courtrail

Posted on:
September 16, 2021
Length:
1 minute read, 123 words
Categories:
Research
Tags:
gender language machine-learning
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