Racial Bias Trends in the Text of US Legal Opinions
Rohan Jinturkar

TL;DR
This study analyzes racial bias in US legal opinions from 1860 to 2009 using word embeddings, revealing persistent bias across regions and time, with no significant change before or after 1950.
Contribution
It applies large-scale word embedding techniques to quantify racial bias in legal language over a long historical period and across regions, providing new insights into implicit bias in law.
Findings
Strong racial bias found in legal opinions across regions and time periods.
No significant difference in bias before and after 1950.
Legal opinions from Northeastern and Southern states show similar bias trends.
Abstract
Although there is widespread recognition of racial bias in US law, it is unclear how such bias appears in the language of law, namely judicial opinions, and whether it varies across time period or region. Building upon approaches for measuring implicit racial bias in large-scale corpora, we approximate GloVe word embeddings for over 6 million US federal and state court cases from 1860 to 2009. We find strong evidence of racial bias across nearly all regions and time periods, as traditionally Black names are more closely associated with pre-classified "unpleasant" terms whereas traditionally White names are more closely associated with pre-classified "pleasant" terms. We also test whether legal opinions before 1950 exhibit more implicit racial bias than those after 1950, as well as whether opinions from Southern states exhibit less change in racial bias than those from Northeastern…
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Taxonomy
TopicsNames, Identity, and Discrimination Research · Judicial and Constitutional Studies · Computational and Text Analysis Methods
MethodsGloVe Embeddings
