Replication Data for: Race, Shaming, and International Human Rights (doi:10.7910/DVN/NWDZJB)

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Replication Data for: Race, Shaming, and International Human Rights

doi:10.7910/DVN/NWDZJB

Harvard Dataverse

2024-10-25

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Buzas, Zoltan; Bassan-Nygate, Lotem, 2024, "Replication Data for: Race, Shaming, and International Human Rights", https://doi.org/10.7910/DVN/NWDZJB, Harvard Dataverse, V1

Replication Data for: Race, Shaming, and International Human Rights

doi:10.7910/DVN/NWDZJB

Buzas, Zoltan (Notre Dame)

Bassan-Nygate, Lotem (Harvard Kennedy School)

Bassan-Nygate, Lotem

Harvard Dataverse

Bassan-Nygate, Lotem

Bassan-Nygate, Lotem

2024-05-03

https://doi.org/10.7910/DVN/NWDZJB

Social Sciences, Race; Human Rights; Naming and Shaming

Can Human Rights Organizations (HROs) shame governments without fueling racism against diasporas or appearing racist? To what extent can shamed governments recover public support lost to shaming by accusing their critics of racism? Employing two US survey experiments involving 6,739 respondents and eleven prominent HRO interviews, we offer three novel findings. First, shaming decreased support for shamed countries (Israel and China) but did not fuel racism (antisemitism and anti-Asianism). If shamers face a racial dilemma, it is less about how to shame without fueling racism, and more about how to shame without appearing racist. Our second finding points toward a solution: when shaming included an anti-racist cue denouncing racism, respondents perceived it as less racist. Finally, shamed governments can employ racial countershaming to recover some, but not all, of the public support lost to shaming. We contribute to the International Relations shaming literature and offer recommendations about racially responsible shaming.

This dataset underwent an independent verification process, complying with the AJPS Verification Policy updated June 2023, which replicated the tables and figures in the primary article. For the supplementary materials, verification was performed solely for the successful execution of the code. The verification process was carried out by the Cornell Center for Social Sciences at Cornell University. <br></br> The associated article has been awarded the Open Materials Badge. Learn more about the Open Practice Badges from the <a href="https://www.cos.io/">Center for Open Science</a>. <br></br> <img src="https://socialsciences.cornell.edu/sites/default/files/2024-04/materials_large_color.png" alt="Open Materials Badge " width="60" height="60"> <br></br> Open Materials Badge

Cordell, D., Unsworth, M. J., Lee, B., Díaz, D., Bennington, N. L., & Thurber, C. H. (2020). Integrating magnetotelluric and seismic images of silicic magma systems: A case study from the Laguna del Maule Volcanic Field, central Chile. Journal of Geophysical Research: Solid Earth, 125(11), e2020JB020459. <br></br> Author-created datasets. See the readme.txt file for the complete list of datasets and codebook.pdf for contents.

The <i>American Journal of Political Science</i> and the Cornell Center for Social Sciences are not responsible for the accuracy or quality of data uploaded within the <i>AJPS</i> Dataverse, for the use of those data, or for interpretations or conclusions based on their use.

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