most citedBias, Consistency, and Partisanship in U.S. Asylum Cases: A Machine Learning Analysis of Extraneous Factors in Immigration Court Decisions

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

cs.SI2023★ 3 cited

Bias, Consistency, and Partisanship in U.S. Asylum Cases: A Machine Learning Analysis of Extraneous Factors in Immigration Court Decisions

Vyoma Raman, Catherine Vera, CJ Manna

In this study, we introduce a novel two-pronged scoring system to measure individual and systemic bias in immigration courts under the U.S. Executive Office of Immigration Review (…