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Predicting Self-Disclosure in Recruitment in the Context of Social Media Screening

  • Debora JeskeEmail author
  • Sonia Lippke
  • Kenneth S. Shultz
Article
  • 35 Downloads

Abstract

Understanding the factors that support the self-disclosure of information by prospective job applicants in recruitment settings provide an important means to understand withdrawal from and completion of applications for job vacancies, particularly in the age of increasing social media screening (also known as cyber-vetting). The general willingness to trust others, the anticipated (mis)use of information (e.g., that may disadvantage applicants), and global privacy concerns may all influence applicant completion and withdrawal behaviors. The purpose of the current study was therefore to examine whether the relationship between perceived vulnerability regarding the use of information and general self-disclosure was mediated by one’s willingness to trust, as well as the link to the completion of applications. The authors collected data from an online sample of 222 student participants who were asked to respond to several hypothetical job scenarios suggesting social media screening. The results indicated that willingness to trust was an independent predictor of self-disclosure. However, while no support for mediation was found, a moderation effect transpired. Specifically, self-disclosure was lowest when both vulnerability and global privacy concerns were high. Follow-up analysis showed that self-disclosure predicted intention to continue with the application process. This suggests that prospective applicants’ willingness to trust, privacy concerns, and perceived vulnerability associated with the use of information about applicants may be important predictors of self-disclosure involved in information sharing (and thus applications submission/completion rates) during recruitment.

Keywords

Applicant behavior Self-disclosure Vulnerability Trust Recruitment 

Notes

Acknowledgements

The authors would like to thank the students and colleagues in the Department of Psychology at Northumbria University for their support.

Compliance with Ethical Standards

Conflict of Interest

None of the three authors received any research grants for this study. All three authors declare that they have no conflict of interest.

Ethical Approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed Consent

Informed consent was obtained from all individual participants included in the study. We gratefully acknowledge the support of the Department of Psychology at Northumbria University.

References

  1. Ababneh, K. I., & Al-Waqfi, M. A. (2016). The role of privacy invasion and fairness in understanding job applicant reactions to potentially inappropriate/discriminatory interview questions. Personnel Review, 45(2), 392–418.CrossRefGoogle Scholar
  2. ADA (2009). A Guide to Disability Rights Laws. U.S. Department of Justice, Civil Rights Division, Disability Rights Section. Available here: https://www.ada.gov/cguide.htm. Accessed 18 Jul 2018.
  3. Angwin, J., Scheiber, N., & Tobin, A. (2017). Dozens of Companies Are Using Facebook to Exclude Older Workers From Job Ads. Business Ethics. Published on 21 December 2017. Available here: http://business-ethics.com/2017/12/21/2140-dozens-of-companies-are-using-facebook-to-exclude-older-workers-from-job-ads/. Accessed 18 Jul 2018.
  4. Bauer, C. & Schiffinger, M. (2015). Self-disclosure in online interaction: A meta-analysis. In Proceedings of the 48 th Hawaii International Conference on System Sciences, Hawaii, USA, 3621–3630.Google Scholar
  5. Bauer, C. & Schiffinger, M. (2016). Perceived risks and benefits of online self-disclosure: affected by culture? A meta-analysis of cultural differences as moderators of privacy calculus in person-to-crowd settings. Proceedings of the 24th European Conference on Information Systems (ECIS), İstanbul, Turkey, 12–15 June, AIS.Google Scholar
  6. Bazarova, N. N., & Choi, Y. H. (2014). Self-disclosure in social media: Extending the functional approach to disclosure motivations and characteristics on social network sites. Journal of Communication, 64(4), 635–657.CrossRefGoogle Scholar
  7. Bennington, L. (2001). Age discrimination: Converging evidence from four Australian studies. Employee Responsibilities and Rights Journal, 13(3), 125–134.CrossRefGoogle Scholar
  8. Black, S. L., Stone, D. L., & Johnson, A. F. (2015). Use of social networking websites on applicants’ privacy. Employee Responsibilities and Rights Journal, 27(2), 115–159.CrossRefGoogle Scholar
  9. Botes, J. (2015). Trust me, I'm a doctor...: Employment law. Without Prejudice, 15(10), 41–42.Google Scholar
  10. Carr, C. T., & Walther, J. B. (2014). Increasing attributional certainty via social media: Learning about others one bit at a time. Journal of Computer-Mediated Communication, 19(2014), 922–937.CrossRefGoogle Scholar
  11. Carter, R. (2015). Too much information: The need for stronger privacy protection for the online activities of employees and applicants. Journal of Civil Rights & Economic Development, 28(3), 291–321.Google Scholar
  12. Davison, H. K., Maraist, C. C., Hamilton, R. H., & Bing, M. N. (2012). To screen or not to screen? Using the internet for selection decisions. Employee Responsibilities and Rights Journal, 24(1), 1–21.CrossRefGoogle Scholar
  13. De Lorenzo, M. S. (2013). Employee mental illness: Managing the hidden epidemic. Employee Responsibilities and Rights Journal, 25(4), 219–238.CrossRefGoogle Scholar
  14. Derlega, V. J., & Grzelak, J. (1979). Appropriateness of self-disclosure in social relationships. Journal of Social Issues, 33(3), 102–115.CrossRefGoogle Scholar
  15. Dinev, H., & Hart, P. (2004). Internet privacy concerns and their antecedents – Measurement validity and a regression model. Behaviour & Information Technology, 23(6), 413–422.CrossRefGoogle Scholar
  16. Disability Inclusion act (2014). https://www.legislation.nsw.gov.au/acts/2014-41.pdf. Accessed 18 Jul 2018.
  17. El Ouirdi, M., Segers, J., El Ouirdi, A., & Pais, I. (2015). Predictors of job seekers’ self-disclosure on social media. Computers in Human Behavior, 53, 1–12.CrossRefGoogle Scholar
  18. Fine, C. R., & Schupp, R. W. (2002). Liability exposure trends in recruitment: An assessment and analysis of retail employment applications. Employee Responsibilities and Rights Journal, 14(4), 135–143.CrossRefGoogle Scholar
  19. Fisher, G. G., Truxillo, D. M., Finkelstein, L. M., & Wallace, L. E. (2017). Age discrimination: Potential for adverse impact and differential prediction related to age. Human Resource Management Review, 27(2), 316–327.CrossRefGoogle Scholar
  20. Frye, N. E., & Dornisch, M. M. (2010). When is trust not enough? The role of perceived privacy of communication tools in comfort with self-disclosure. Computers in Human Behavior, 26, 1120–1127.CrossRefGoogle Scholar
  21. GDPR (2018). General Data Protection Regulation. https://www.eugdpr.org/. Accessed 18 Jul 2018.
  22. Guskin, S. L. (1982). The effects of knowing someone is handicapped on decision making: A review of the literature. In S. Sherman & N. Robinson (Eds.), Ability testing of handicapped people: Dilemma for government, science, and the public (pp. 165–189). Washington, DC: National Academy Press.Google Scholar
  23. Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York: Guilford Press.Google Scholar
  24. IPIP (2016). International personality item Pool. Trust (A1). Available at: http://ipip.ori.org/newNEOKey.htm#Trust. Accessed 18 Jul 2018.
  25. Jeske, D., & Shultz, K. S. (2016). Using social media content for screening in recruitment and selection: Pros and cons. Work, Employment & Society, 30(3), 535–546.CrossRefGoogle Scholar
  26. Jeske, D., & Shultz, K.S. (2019). Social media screening and content effects: implications for job applicant reactions. International Journal of Manpower. ePub. Available at: https://doi.org/10.1108/IJM-06-2017-0138.
  27. John, L. K., Barasz, K., & Norton, M. I. (2016). Hiding personal information reveals the worst. PNAS, 113(4), 954–959.CrossRefGoogle Scholar
  28. Joinson, A. N., Reips, U. D., Buchanan, T., & Schofield, C. B. P. (2010). Privacy, trust, and self-disclosure online. Human–Computer Interaction, 25, 1–24.CrossRefGoogle Scholar
  29. Kang, S. K., DeCelles, K. A., Tilcsik, A., & Jun, S. (2016). Whitened resumes: Race and self-presentation in the labor market. Administrative Science Quarterly, 61(3), 469–502.CrossRefGoogle Scholar
  30. Langford, C. R., Lengnick-Hall, M. L., & Kulkarni, M. (2013). How do social networks influence the employment prospects of people with disabilities? Employee Responsibilities and Rights Journal, 25(4), 295–310.CrossRefGoogle Scholar
  31. Lau, H., & Stotzer, R. L. (2011). Employment discrimination based on sexual orientation: A Hong Kong study. Employee Responsibilities and Rights Journal, 23(1), 17–35.CrossRefGoogle Scholar
  32. LeBel, T. P. (2011). Invisible Stripes? Formerly Incarcerated Persons' Perceptions of Stigma. Deviant Behavior, 89–107 (ePub).  https://doi.org/10.1080/01639625.2010.538365.
  33. Li, Y. (2012). Theories in online information privacy research: A critical review and an integrated framework. Decision Support Systems, 54, 471–481.CrossRefGoogle Scholar
  34. Loafman, L., & Little, A. (2014). Race, employment, and crime: The shifting landscape of disparate impact discrimination based on criminal convictions. American Business Law Journal, 51(2), 251–314.CrossRefGoogle Scholar
  35. Macan, T. H., & Dipboye, R. L. (1994). The Effects of the Application on Processing of Information From the Employment Interview. 1. Journal of Applied Social Psychology, 24(14), 1291–1314.Google Scholar
  36. Malhotra, N. K., Kim, S. S., & Agarwal, J. (2004). Internet users' information privacy concerns (IUIPC): The construct, the scale, and a causal model. Information systems research, 15(4), 336-355.Google Scholar
  37. McCarthy, J. M., Bauer, T. N., Truxillo, D. M., Anderson, N. R., Costa, A. C., & Ahmed, S. M. (2017). Applicant perspectives during selection: A review addressing “so what?,” “What’s new?,” and “where to next?”. Journal of Management, 43(6), 1693–1725.CrossRefGoogle Scholar
  38. Nelson, A. H. (2009). Adverse Impact and Disparate Treatment: Two Types of Discrimination. Alexandria: Society for Human Resource Management.Google Scholar
  39. Offender Rehabilitation Act (2014). http://www.legislation.gov.uk/ukpga/2014/11/contents. Accessed 18 Jul 2018.
  40. Omarzu, J. (2000). A disclosure decision model: Determining how and when individuals will self-disclose. Personality and Social Psychology Review, 4(2), 174–185.CrossRefGoogle Scholar
  41. Park, D. J. (2017). The battle over SNS privacy for US employees and job applicants: An analysis of 2012–2013 state legislation. Information, Communication & Society, 20(4), 604–620.CrossRefGoogle Scholar
  42. Petronio, S. (2002). Boundaries of privacy: Dialectics of disclosure. Albany: SUNY Press.Google Scholar
  43. Ren, L. R., Paetzold, R. L., & Colella, A. (2008). A meta-analysis of experimental studies on the effects of disability on human resource judgments. Human Resource Management Review, 18(3), 191–203.CrossRefGoogle Scholar
  44. Rippetoe, P. A., & Rogers, R. W. (1987). Effects of components of protection-motivation theory on adaptive and maladaptive coping with a health threat. Journal of Personality and Social Psychology, 52, 596–604.CrossRefGoogle Scholar
  45. Rogers, R. W. (1983). Cognitive and physiological process in fear appeals and attitude change: A revised theory of protection motivation. In J. Cacioppo & R. Petty (Eds.), Social psychophysiology (pp. 153–174). New York: The Guildford Press.Google Scholar
  46. Schneider, T. J., Goffin, R. D., & Daljeet, K. N. (2015). “Give us your social networking site passwords”: Implications for personnel selection and personality. Personality and Individual Differences, 73(January), 78–83.CrossRefGoogle Scholar
  47. Smith, H. J., Milber, S. J., & Burke, S. J. (1996). Information privacy: Measuring individual’s concerns about organizational practices. MIS Quarterly, 20(2), 167–196.CrossRefGoogle Scholar
  48. Stoughton, J. W., Thompson, L. F., & Meade, A. W. (2015). Examining applicant reactions to the use of social networking websites in pre-employment screening. Journal of Business and Psychology, 30(1), 73–88.CrossRefGoogle Scholar
  49. Styers, B. A., & Shultz, K. S. (2009). Perceived reasonableness of employment testing accommodations for persons with disabilities. Public Personnel Management, 38(3), 119–140.CrossRefGoogle Scholar
  50. Taddei, S., & Contena, B. (2013). Privacy, trust and control: Which relationships with online self-disclosure? Computers in Human Behavior, 29, 821–826.CrossRefGoogle Scholar
  51. Taddicken, M. (2014). The ‘privacy paradox’ in the social web: The impact of privacy concerns, individual characteristics, and the perceived social relevance on different forms of self-disclosure. Journal of Computer-Mediated Communication, 19, 248–273.CrossRefGoogle Scholar
  52. Thorsden, T., Murawski, M., & Bick, M. (2016). The role of non-social benefits related to convenience: Towards an enhanced model of user’s self-disclosure in social networks. In Y.K. Dwivedi et al (Eds). I3E 2016, LNCS 9844, pp. 389–400.Google Scholar
  53. US Department of Labor (2018). Section 504, Rehabilitation Act of 1973. Available at: https://www.dol.gov/oasam/regs/statutes/sec504.htm. (Accessed 18 Jul 2018).
  54. van Schrader, S., Malzer, V., & Buyère, S. (2013). Perspectives on disability disclosure: The importance of employer practices and workplace climate. Employee Responsibilities and Rights Journal, 26(4), 237–255.CrossRefGoogle Scholar
  55. Wheat, K., Brohan, E., Henderson, C., & Thornicroft, G. (2010). Mental illness and the workplace: Conceal or reveal? Journal of the Royal Society of Medicine, 103, 83–86.CrossRefGoogle Scholar
  56. Wheeless, L. R. (1978). A follow-up study of the relationships among trust, disclosure, and interpersonal solidarity. Human Communication Research, 4, 143–157.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.School of Applied PsychologyUniversity College CorkCorkRepublic of Ireland
  2. 2.Jacobs University BremenBremenGermany
  3. 3.California State UniversitySan BernardinoUSA

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