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Imperfect Victims? Civilian Men, Vulnerability, and Policy Preferences

Published online by Cambridge University Press:  19 April 2023

ANNE-KATHRIN KREFT*
Affiliation:
University of Oslo, Norway
MATTIAS AGERBERG*
Affiliation:
University of Gothenburg, Sweden
*
Anne-Kathrin Kreft, Postdoctoral Fellow, Department of Political Science, University of Oslo, Norway, a.k.kreft@stv.uio.no.
Mattias Agerberg, Associate Professor, Department of Political Science, University of Gothenburg, Sweden, Mattias.Agerberg@gu.se.
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Abstract

Who is deemed vulnerable and in need of protection has a bearing on important policy decisions, such as refugee acceptance or provision of aid. In war, dominant narratives construe women as paradigmatic victims, even while civilian men are disproportionately targeted in the most lethal forms of violence. How are such gender-essentialist notions reflected in public opinion? Do regular citizens have inaccurate perceptions of male victimization in war, and with what consequences for their policy preferences? We carried out survey experiments among U.S. and U.K. respondents on both real and hypothetical conflicts, where we emphasized or varied the gender of the victims. In support of our expectations, respondents consistently underestimate the victimization of men, perceive civilian male victims as less innocent, and hold anti-male biases when it comes to accepting refugees and providing aid. However, informing respondents of the vulnerability of male civilians to targeted assassinations and massacres mitigates these effects.

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Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the American Political Science Association
Figure 0

Figure 1. Histogram of Respondents’ Estimates of the Share of Male Casualties in the Syria Civil War with Overlaid Kernel Density EstimateNote: The dashed vertical line indicates the estimate reported by the Syria Observatory for Human Rights.

Figure 1

Figure 2. Results of Study 1 ExperimentNote: The figure shows predicted values along with 95% confidence intervals. All predictions based on a linear regression model where the dependent variable is regressed on a treatment indicator. The outcome variables were normalized to range from 0 to 1. Dependent variable means: 0.74 (Innocent bystanders), 0.68 (Aid support), and 0.72 (Support for refugees). The y-axes are scaled by the variable mean $ \pm 0.5 $ SD. The full results table is included in Table A4 in Appendix D of the Supplementary Material.

Figure 2

Figure 3. Results of Study 2 ExperimentNote: The figure shows predicted values along with 95% confidence intervals. All predictions based on a linear regression model where the dependent variable is regressed on a treatment indicator. The outcome variables were normalized to range from 0 to 1. Dependent variable means: 0.82 (Innocent bystanders), 0.75 (Aid support), and 0.71 (Support for refugees). The y-axes are scaled by the variable mean $ \pm 0.5 $ SD. The full results table is included in Table A5 in Appendix D of the Supplementary Material.

Figure 3

Figure 4. Histogram of Respondents’ Estimates of the Share of Male Casualties in Conflicts around the World with Overlaid Kernel Density Estimate

Figure 4

Figure 5. Results of the Conjoint Experiment on Refugee Acceptance (Study 3)Note: The figure shows estimates of the effects of the randomly assigned group attributes on the probability of being preferred for admission to the United States. Estimates based on a linear probability model (estimated with OLS) with standard errors clustered at the respondent level. The bars represent 95% confidence intervals. The full results table is included in Table A6 in Appendix D of the Supplementary Material.

Figure 5

Figure 6. Effect of the Information Treatment about Men’s Vulnerability on Anti-Male Biases (Study 3)Note: The figure shows the treatment effect for the majority men variable for respondents in the control group and in the treatment group, respectively, as well as the difference between groups. Estimates based on a linear probability model (estimated with OLS) with standard errors clustered at the respondent level. All other coefficients are omitted from the graph. The bars represent 95% confidence intervals. The full results table is included in Table A7 in Appendix D of the Supplementary Material.

Figure 6

Figure 7. Effect of the Information Treatment about Men’s Vulnerability on Support for Aid Program (Study 3)Note: The figure shows predicted values along with 95% confidence intervals. All predictions based on a linear regression model where the dependent variable is regressed on a treatment indicator. Dependent variable mean: 0.6. The y-axis is scaled by the variable mean $ \pm 0.5 $ SD. The full results table is included in Table A8 in Appendix D of the Supplementary Material.

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