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A need to “veto” the “vett” in cybervetting to prevent DEI efforts from DIEing
Published online by Cambridge University Press: 09 September 2022
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- © The Author(s), 2022. Published by Cambridge University Press on behalf of the Society for Industrial and Organizational Psychology
References
Black, S. L., Stone, D. L., & Johnson, A. F. (2014). Use of social networking websites on applicants’ privacy.” Employee Responsibilities and Rights Journal, 27(2), 115–59. https://doi.org/10.1007/s10672-014-9245-2
Google Scholar
CVCheck. (2019, August 8). The GDPR and its effect on social media screening. Checkpoint. https://checkpoint.cvcheck.com/the-gdpr-and-its-effect-on-social-media-screening/
Google Scholar
Drouin, M., O’Connor, K. W., Schmidt, G. B., & Miller, D. A. (2015). Facebook fired: Legal perspectives and young adults’ opinions on the use of social media in hiring and firing decisions. Computers in Human Behavior, 46, 123–128.CrossRefGoogle Scholar
Gaddis, S. M. (2015). Discrimination in the credential society: An audit study of race and college selectivity in the labor market. Social Forces, 93(4), 1451–1479.Google Scholar
Jarman, B. T., Kallies, K. J., Joshi, A. R., Smink, D. S., Sarosi, G. A., Chang, L., Green, J. M., Greenberg, J. A., Melcher, M. L., Nfonsam, V., Ramirez, L. D., Borgert, A. J., & Whiting, J. (2019). Underrepresented minorities are underrepresented among general surgery applicants selected to interview. Journal of Surgical Education, 76(6), e15–e23.Google ScholarPubMed
Landers, R. N., & Behrend, T. S. (2022, February 14). Auditing the AI auditors: Aframework for evaluating fairness and bias in high stakes AI predictive models. American Psychologist. Advance online publication. http://doi.org/10.1037/amp0000972
CrossRefGoogle Scholar
Mishel, E. (2016). Discrimination against queer women in the US workforce: Arésumé audit study. Socius: Sociological Research for a Dynamic World, 2, 1–13.CrossRefGoogle Scholar
Myers, V., Price, J. P. B., Roulin, N., Duval, A., & Sobhani, S. (2021). Job seekers’ impression management on Facebook: Scale development, antecedents, and outcomes. Personnel Assessment and Decisions, 7(1), 102–113. https://scholarworks.bgsu.edu/pad/vol7/iss1/10
Google Scholar
National Conference of State Legislatures. (2008, April 15). At-will employment—overview. https://www.ncsl.org/research/labor-and-employment/at-will-employment-overview.aspx
Google Scholar
Noble, S. U. (2018). Algorithms of oppression: How search engines reinforce racism. NYU Press.CrossRefGoogle Scholar
Schmidt, G. B., & O’Connor, K. (2016). Legal concerns when considering social media data in selection. In Landers, Richard N. and Schmidt, Gordon B. (Eds.), Social Media in employee selection and recruitment: Theory, practice and current challenges (pp. 265–287). Springer.Google Scholar
Schroeder, A. N., & Cavanaugh, J. M. (2018). Fake it ‘til you make it: Examining faking ability on social media pages. Computers in Human Behavior, 84, 29–35.CrossRefGoogle Scholar
Van Iddekinge, C. H., Lanivich, S. E., Roth, P. L., & Junco, E. (2016). Social media for selection? Validity and adverse impact potential of a Facebook-based assessment. Journal of Management, 42(7), 1811–1835.Google Scholar
Wilcox, A., Damarin, A. K., & McDonald, S. (2022). Is cybervetting valuable? Industrial and Organizational Psychology: Perspectives on Science and Practice, 15(3), 315–333.Google Scholar
Zhang, L., Van Iddekinge, C. H., Arnold, J. D., Roth, P. L., Lievens, F., Lanivich, S. E., & Jordan, S. L. (2020). What’s on job seekers’ social media sites? Acontent analysis and effects of structure on recruiter judgments and predictive validity. Journal of Applied Psychology, 105(12), 1530–1546. https://doi.org/10.1037/apl0000490
Google Scholar