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The Inverted Hierarchy: How Public Bias Can Favor Potential Indigenous Candidates

Published online by Cambridge University Press:  02 October 2025

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Abstract

Indigenous communities have long been marginalized and underrepresented in democracies, yet we know little about how publics evaluate Indigenous people who are thinking of running as candidates. Using two experimental surveys with nationally representative samples of Australian adults, we examine how citizens assess the personality traits of eight women and men who are interested in running for office. All eight have identical biographies, other than the fact that they are from White, Chinese, and both dark-skinned and light-skinned Indigenous Australian backgrounds. Surprisingly, we find an inverted hierarchy of bias, moderated by respondent ideology, in which darker-skinned Indigenous potential candidates fare better than all others. Although this may be due to a positive violation of expectations, our results have implications for theories about how people view Indigenous and ethnic minority aspirant politicians. They also point to the need for further research globally into how the public and parties evaluate Indigenous candidates.

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Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NC
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial licence (http://creativecommons.org/licenses/by-nc/4.0), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of American Political Science Association
Figure 0

Table 1 Fictitious Prospective Candidates (Survey 2)

Figure 1

Figure 1 Candidate PhotographsNote: From left to right, top to bottom: Chinese Australian man, Chinese Australian woman, dark-skinned Australian Indigenous man, dark-skinned Australian Indigenous woman, light-skinned Australian Indigenous man, light-skinned Australian Indigenous woman, White Australian man, and White Australian woman.

Figure 2

Table 2 Traits and Operationalization of Competence and Warmth

Figure 3

Figure 2 Boxplot and Comparison of Means: Competence Index (1–5)Note: Means indicated with (+). Full table of means available in appendix E1. Results for men candidates are shaded. n = 3,914.

Figure 4

Table 3 Multiple Comparisons (Tukey’s): Competence Index (1–5)

Figure 5

Table 4 Linear Regression, Competence Index, Candidate x Left–Right Position

Figure 6

Figure 3 Predicted Values: Competence Index (1–5), Left–Right Respondent Position

Figure 7

Figure 4 Boxplot and Comparison of Means: Warmth Index (1–5)Note: Means indicated with (+). Full table of means available in Appendix E2. Results for men candidates are shaded. n = 3,914.

Figure 8

Table 5 Multiple Comparisons (Tukey’s): Warmth Index (1–5)

Figure 9

Table 6 Linear Regression, Warmth Index, Candidate x Left-Right Position

Figure 10

Figure 5 Predicted Values: Warmth Index (1–5), Left–Right Respondent Position

Supplementary material: Link

Holloway et al. Dataset

Link