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An Experiment in Hiring Discrimination via Online Social Networks

Author

Listed:
  • Alessandro Acquisti

    (Heinz College of Information Systems and Public Policy, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213)

  • Christina Fong

    (Department of Social and Decision Sciences, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213)

Abstract

We investigate whether personal information posted by job candidates on social media sites is sought and used by prospective U.S. employers. We create profiles for job candidates on popular social networks, manipulating information protected under U.S. laws, and submit job applications on their behalf to more than 4,000 employers. We estimate employer search activity and bias in interview callbacks. We find evidence of employers searching online for the candidates. At the national level, we find no significant difference in the callback rates for a Muslim versus a Christian candidate, or for a gay versus a straight candidate. However, employers in Republican areas exhibit significant bias against the Muslim candidate relative to the Christian candidate. This bias is significantly larger than the bias in Democratic areas. The results on callback bias are robust to using state- and county-level data, to controlling for firm, job, and geographical characteristics, to including additional interaction effects in the empirical specification, and to several estimation strategies. The results suggest that the online disclosure of certain personal traits can influence the hiring decisions of some U.S. employers, but the likelihood of hiring discrimination via online searches varies across employers.

Suggested Citation

  • Alessandro Acquisti & Christina Fong, 2020. "An Experiment in Hiring Discrimination via Online Social Networks," Management Science, INFORMS, vol. 66(3), pages 1005-1024, March.
  • Handle: RePEc:inm:ormnsc:v:66:y:2020:i:3:p:1005-1024
    DOI: 10.1287/mnsc.2018.3269
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    2. Matthias Trier & Dennis Kundisch & Daniel Beverungen & Oliver Müller & Guido Schryen & Milad Mirbabaie & Simon Trang, 2023. "Digital Responsibility," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 65(4), pages 463-474, August.
    3. Francesco Capozza & Ingar Haaland & Christopher Roth & Johannes Wohlfart, 2021. "Studying Information Acquisition in the Field: A Practical Guide and Review," CEBI working paper series 21-15, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    4. Van Borm, Hannah & Baert, Stijn, 2022. "Diving in the Minds of Recruiters: What Triggers Gender Stereotypes in Hiring?," IZA Discussion Papers 15261, Institute of Labor Economics (IZA).
    5. Aksoy, Billur & Chadd, Ian & Koh, Boon Han, 2023. "Sexual identity, gender, and anticipated discrimination in prosocial behavior," European Economic Review, Elsevier, vol. 154(C).
    6. Billur Aksoy & Ian Chadd & Boon Han Koh, 2022. "(Anticipated) Discrimination against Sexual Minorities in Prosocial Domains," University of East Anglia School of Economics Working Paper Series 2021-08, School of Economics, University of East Anglia, Norwich, UK..
    7. Fath, Sean & Larrick, Richard P. & Soll, Jack B., 2022. "Blinding curiosity: Exploring preferences for “blinding” one’s own judgment," Organizational Behavior and Human Decision Processes, Elsevier, vol. 170(C).
    8. Kudashvili, Nikoloz & Lergetporer, Philipp, 2022. "Minorities’ strategic response to discrimination: Experimental evidence," Journal of Public Economics, Elsevier, vol. 208(C).
    9. Mladen Adamovic & Andreas Leibbrandt, 2023. "A large‐scale field experiment on occupational gender segregation and hiring discrimination," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 62(1), pages 34-59, January.
    10. Yulia Evsyukova & Felix Rusche & Wladislaw Mill, 2023. "LinkedOut? A Field Experiment on Discrimination in Job Network Formation," CRC TR 224 Discussion Paper Series crctr224_2023_482, University of Bonn and University of Mannheim, Germany.
    11. Amalia R. Miller & Kamalini Ramdas & Alp Sungu, 2023. "Browsers Don’t Lie? Gender Differences in the Effects of the Indian COVID-19 Lockdown on Digital Activity and Time Use," NBER Working Papers 31919, National Bureau of Economic Research, Inc.
    12. Christopher T. Bennett, 2023. "Labor Market Returns to MBAs From Less‐Selective Universities: Evidence From a Field Experiment During COVID‐19," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 42(2), pages 525-551, March.
    13. Sterkens, Philippe & Dalle, Axana & Wuyts, Joey & Pauwels, Ines & Durinck, Hellen & Baertf, Stijn, 2022. "Homosexuality's Signalling Function in Job Candidate Screening: Why Gay is (Mostly) OK," GLO Discussion Paper Series 1090, Global Labor Organization (GLO).
    14. Heng Xu & Nan Zhang, 2022. "Implications of Data Anonymization on the Statistical Evidence of Disparity," Management Science, INFORMS, vol. 68(4), pages 2600-2618, April.
    15. Justin T. Huang & Masha Krupenkin & David Rothschild & Julia Lee Cunningham, 2023. "The cost of anti-Asian racism during the COVID-19 pandemic," Nature Human Behaviour, Nature, vol. 7(5), pages 682-695, May.

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