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Political Science Faculty Publications

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Full-Text Articles in Social and Behavioral Sciences

Do Americans Perceive Diverse Judges As Inherently Biased, Yoshikuni Ono, Michael A. Zilis Aug 2021

Do Americans Perceive Diverse Judges As Inherently Biased, Yoshikuni Ono, Michael A. Zilis

Political Science Faculty Publications

Although women and minorities hold an increasing share of judgships in the United States, they remain underrepresented. We explore Americans’ perceptions of the bias of women and minority judges – one of the possible challenges to creating a diverse bench. We argue that prejudice against these groups manifests in a subtle way, in the belief that diverse judges cannot fairly adjudicate controversies that involve their ingroup. To test our theory, we use a list experiment specifically developed to minimize social desirability effects. We find that many respondents rate female and Hispanic judges to be biased decision makers. Our results highlight …


Ascriptive Characteristics And Perceptions Of Impropriety In The Rule Of Law: Race, Gender, And Public Assessments Of Whether Judges Can Be Impartial, Yoshikuni Ono, Michael A. Zilis May 2021

Ascriptive Characteristics And Perceptions Of Impropriety In The Rule Of Law: Race, Gender, And Public Assessments Of Whether Judges Can Be Impartial, Yoshikuni Ono, Michael A. Zilis

Political Science Faculty Publications

Perceptions of procedural fairness influence the legitimacy of the law and because procedures are mutable, reforming them can buttress support for the rule of law. Yet legal authorities have recently faced a distinct challenge: accusations of impropriety based on their ascriptive characteristics (e.g., gender, ethnicity). We study the effect of these traits in the context of the U.S. legal system, focusing on the conditions under which citizens perceive female and minority judges as exhibiting impropriety and how this compares with perceptions of their white and male counterparts. We find that Americans use a judge's race and gender to make inferences …