Abstract
Mental health challenges are stigmatized in society and at work, yet people are increasingly posting about their experiences of anxiety and depression on social media. Drawing from the expectancy-confirmation framework in the stereotype literature by Darley and Gross (1983), this experiment examined whether stigma associated with anxiety and depression induces initial expectancies about the traits and behavioral tendencies of applicants who post about their anxiety and depression on LinkedIn. We then tested whether these expectancies are strengthened via confirmation bias when the applicant has the chance to perform in an interview. Findings from 409 individuals with hiring experience revealed that, regardless of an applicant gender and evaluator age, when applicants write about their experiences with anxiety and depression on LinkedIn, it affects evaluators’ impressions of their work-related personality traits (i.e., emotional stability, conscientiousness) but not expectations about their work performance (i.e., task performance, organizational citizenship behaviors). Unexpectedly, evaluators’ initial impressions of the applicant’s emotional stability were slightly enhanced, rather than worsened, when listening to a recording of the applicant’s job interview, but perceptions of conscientiousness remained unchanged. Overall, this study suggests that using LinkedIn to screen job candidates may introduce personal information about applicants that can be difficult to ignore later. While people are encouraged to share their experiences with anxiety and depression on social media, doing so can impact their professional image.
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24 August 2023
A Correction to this paper has been published: https://doi.org/10.1007/s10869-023-09909-4
Notes
Findings did not change when age is treated as a continuous variable.
References
American Psychological Association. (2022a). Anxiety. American Psychological Association. Retrieved May 15, 2022, from https://www.apa.org/topics/anxiety
American Psychological Association. (2022b). Depression. American Psychological Association. Retrieved May 15, 2022, from https://www.apa.org/topics/depression
American Psychological Association. (2019). Survey: Americans becoming more open about mental health. American Psychological Association. Retrieved May 25, 2022, from https://www.apa.org/news/press/releases/2019/05/mental-health-survey
Arora, L., Coe, E., Dewhurst, M., & Enomoto, K. (2022). Heat waves, the war in Ukraine, and stigma: Gen Z’s perspectives on mental health. McKinsey Health Institute. Retrieved July 6, 2023, from https://www.mckinsey.com/mhi/our-insights/heat-waves-the-war-in-ukraine-and-stigma-gen-zs-perspectives-on-mental-health
Baral, S. P., Prasad, P., & Raghuvamshi, G. (2022). Mental health awareness and generation gap. Indian Journal of Psychiatry, 64(Suppl 3), S636.
Barrett, L. F., & Bliss-Moreau, E. (2009). She’s emotional. He’s having a bad day: attributional explanations for emotion stereotypes. Emotion, 9(5), 649–658. https://doi.org/10.1037/a0016821
Barrick, M. R., & Mount, M. K. (1991). The big five personality dimensions and job performance: a meta-analysis. Personnel Psychology, 44(1), 1–26. https://doi.org/10.1111/j.1744-6570.1991.tb00688.x
Beatty, J. E., Baldridge, D. C., Boehm, S. A., Kulkarni, M., & Colella, A. J. (2019). On the treatment of persons with disabilities in organizations: a review and research agenda. Human Resource Management, 58(2), 119–137. https://doi.org/10.1002/hrm.21940
Bethune, S. (2019). Gen Z more likely to report mental health concerns. Monitor on Psychology, 50, 20 https://www.apa.org/monitor/2019/01/gen-z
Black, S. L., Johnson, A. F., Takach, S. E., & Stone, D. L. (2012). Factors affecting applicants’ reactions to the collection of data in social network websites. Academy of Management Proceedings, (2012, 1), 11742. https://doi.org/10.5465/AMBPP.2012.11742abstract
Boysen, G., Ebersole, A., Casner, R., & Coston, N. (2014). Gendered mental disorders: masculine and feminine stereotypes about mental disorders and their relation to stigma. The Journal of Social Psychology, 154(6), 546–565. https://doi.org/10.1080/00224545.2014.953028
Boysen, G. A., Chicosky, R. L., & Delmore, E. E. (2020). Dehumanization of mental illness and the stereotype content model. Stigma and Health, 8(2), 150–158. https://doi.org/10.1037/sah0000256
Boysen, G. A., Morton, J., & Nieves, T. (2019). Mental illness as a relationship dealbreaker. Stigma and Health, 4(4), 421–428. https://doi.org/10.1037/sah0000157
Boysen, G. A. (2020). Mental illness and mate value: evidence for reduced mate value among romantic partners perceived as having mental illness. Evolutionary Behavioral Sciences, 16(3), 261–275. https://doi.org/10.1037/ebs0000255
Bradbury, A. (2020). Mental health stigma: the impact of age and gender on attitudes. Community Mental Health Journal, 56(5), 933–938.
Brescoll, V. L. (2016). Leading with their hearts? How gender stereotypes of emotion lead to biased evaluations of female leaders. The Leadership Quarterly, 27(3), 415–428.
Bruine de Bruin, W. (2021). Age differences in COVID-19 risk perceptions and mental health: Evidence from a national US survey conducted in March 2020. The Journals of Gerontology: Series B, 76(2), e24–e29.
Campbell, J., & Kaufmann, C. L. (1997). Equality and difference in the ADA: Unintended consequences for employment. In R. J. Bonnie & J. Monahan (Eds.), Mental disorder, work disability, and the law (p. 221). The University of Chicago Press.
Chiaburu, D. S., Oh, I. S., Berry, C. M., Li, N., & Gardner, R. G. (2011). The five-factor model of personality traits and organizational citizenship behaviors: a meta-analysis. Journal of Applied Psychology, 96(6), 1140–1166. https://doi.org/10.1037/a0024004
Clark, L. A., & Watson, D. (1991). Tripartite model of anxiety and depression: psychometric evidence and taxonomic implications. Journal of Abnormal Psychology, 100(3), 316.
Codd, E. (2020). Millennials, gen Z and mental health. Deloitte. Retrieved July 6, 2023, from https://www.deloitte.com/global/en/about/people/social-responsibility/millennials-gen-z-and-mental-health.html
Corrigan, P. W. (2000). Mental health stigma as social attribution: implications for research methods and attitude change. Clinical psychology: Science and Practice, 7(1), 48–67. https://doi.org/10.1093/clipsy.7.1.48
Corrigan, P. W., Morris, S. B., Michaels, P. J., Rafacz, J. D., & Rüsch, N. (2012). Challenging the public stigma of mental illness: A meta-analysis of outcome studies. Psychiatric Services, 63(10), 963–973.
Courtenay, W. H. (2000). Constructions of masculinity and their influence on men’s well-being: a theory of gender and health. Social Science & Medicine, 50(10), 1385–1401. https://doi.org/10.1016/S0277-9536(99)00390-1
Crisp, A., Gelder, M., Goddard, E., & Meltzer, H. (2005). Stigmatization of people with mental illnesses: a follow-up study within the Changing Minds campaign of the Royal College of Psychiatrists. World Psychiatry, 4(2), 106.
Cuddy, A. J., Fiske, S. T., & Glick, P. (2004). When professionals become mothers, warmth doesn’t cut the ice. Journal of Social Issues, 60(4), 701–718. https://doi.org/10.1111/J.0022-4537.2004.00381.X
Darley, J. M., & Gross, P. H. (1983). A hypothesis-confirming bias in labeling effects. Journal of Personality and Social Psychology, 44(1), 20–33. https://doi.org/10.1037/0022-3514.44.1.20
De Choudhury, M., Sharma, S. S., Logar, T., Eekhout, W., & Nielsen, R. C. (2017). Gender and cross-cultural differences in social media disclosures of mental illness. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (pp. 353–369). https://doi.org/10.1145/2998181.2998220
Dengate, C. (2018). Mental health isn’t taboo on LinkedIn. LinkedIn. Retrieved May 25, 2022, from https://www.linkedin.com/pulse/mental-health-isnt-taboo-linkedin-cayla-dengate
Dimock, M. (2019). Defining generations: where millennials end and generation Z begins. Pew Research Center https://www.pewresearch.org/short-reads/2019/01/17/where-millennials-end-and-generation-z-begins/
Dipboye, R. L., Fontenelle, G. A., & Garner, K. (1984). Effects of previewing the application on interview process and outcomes. Journal of Applied Psychology, 69(1), 118–128. https://doi.org/10.1037/0021-9010.69.1.118
Dougherty, T. W., Turban, D. B., & Callender, J. C. (1994). Confirming first impressions in the employment interview: a field study of interviewer behavior. Journal of Applied Psychology, 79(5), 659–665. https://doi.org/10.1037/0021-9010.79.5.659
Drydakis, N. (2009). Sexual orientation discrimination in the labour market. Labour Economics, 16(4), 364–372. https://doi.org/10.1016/j.labeco.2008.12.003
Dudley, N. M., Orvis, K. A., Lebiecki, J. E., & Cortina, J. M. (2006). A meta-analytic investigation of conscientiousness in the prediction of job performance: examining the intercorrelations and the incremental validity of narrow traits. Journal of Applied Psychology, 91(1), 40–57. https://doi.org/10.1037/0021-9010.91.1.40
Feldman, D. B., & Crandall, C. S. (2007). Dimensions of mental illness stigma: what about mental illness causes social rejection? Journal of Social and Clinical Psychology, 26(2), 137–154. https://doi.org/10.1521/jscp.2007.26.2.137
Field, A. (2013). Discovering statistics using IBM SPSS statistics. Sage.
Fischbach, A., Lichtenthaler, P. W., & Horstmann, N. (2015). Leadership and gender stereotyping of emotions. Journal of Personnel Psychology, 14(3), 153–162.
Fiske, S. T. (2012). Warmth and competence: stereotype content issues for clinicians and researchers. Canadian Psychology/Psychologie Canadienne, 53(1), 14–20. https://doi.org/10.1037/a0026054
Follmer, K. B., & Jones, K. S. (2017). Stereotype content and social distancing from employees with mental illness: the moderating roles of gender and social dominance orientation. Journal of Applied Social Psychology, 47(9), 492–504. https://doi.org/10.1111/jasp.12455
Follmer, K. B., & Jones, K. S. (2018). Mental illness in the workplace: an interdisciplinary review and organizational research agenda. Journal of Management, 44(1), 325–351. https://doi.org/10.1177/0149206317741194
Goffman, E. (1963). Stigma and social identity. In T. L. Anderson (Ed.), Understanding deviance: Connecting Classical and Contemporary Perspectives (pp. 256–265). Routledge.
Goldberg, L. R. (1999). A broad-bandwidth, public domain, personality inventory measuring the lower-level facets of several five-factor models. Personality Psychology in Europe, 7(1), 7–28.
Goswami, T. (2018, January 23). Did I risk my career by writing about my depression? I’d do it all over again. LinkedIn. Retrieved May 25, 2022, from https://www.linkedin.com/pulse/did-i-risk-my-career-writing-depression-id-do-all-over-tanmoy-goswami
Grant, S., & Mizzi, T. (2014). Body weight bias in hiring decisions: identifying explanatory mechanisms. Social Behavior and Personality: An International Journal, 42(3), 353–370. https://doi.org/10.2224/sbp.2014.42.3.353
Guilfoyle, S., Bergman, S. M., Hartwell, C., & Powers, J. (2016). Social media, big data, and employment decisions: mo’data, mo’problems? In R. N. Landers & G. B. Schmidt (Eds.), Social media in employee selection and recruitment (pp. 127–155). Springer.
Hand, C., & Tryssenaar, J. (2006). Small business employers’ views on hiring individuals with mental illness. Psychiatric Rehabilitation Journal, 29(3), 166–173. https://doi.org/10.2975/29.2006.166.173
Hartwell, C. J., & Campion, M. A. (2020). Getting social in selection: how social networking website content is perceived and used in hiring. International Journal of Selection and Assessment, 28(1), 1–16. https://doi.org/10.1111/ijsa.12273
Hartwell, C. J., Harrison, J. T., Chauhan, R. S., Levashina, J., & Campion, M. A. (2022). Structuring social media assessments in employee selection. International Journal of Selection and Assessment, 30(3), 330–343. https://doi.org/10.1111/ijsa.12384
Harvey, B. (2020). Let’s talk about mental health and millennials. Blue Cross Blue Shield. Retreived July 6, 2023, from https://www.bcbs.com/smarter-better-healthcare/article/lets-talk-about-mental-health-and-millennials
Hasin, D. S., Goodwin, R. D., Stinson, F. S., & Grant, B. F. (2005). Epidemiology of major depressive disorder: results from the National Epidemiologic Survey on Alcoholism and Related Conditions. Archives of General Psychiatry, 62(10), 1097–1106. https://doi.org/10.1001/archpsyc.62.10.1097
Hastuti, R., & Timming, A. R. (2021). An inter-disciplinary review of the literature on mental illness disclosure in the workplace: implications for human resource management. The International Journal of Human Resource Management, 32(15), 3302–3338. https://doi.org/10.1080/09585192.2021.1875494
Heilman, M. E., & Okimoto, T. G. (2008). Motherhood: a potential source of bias in employment decisions. Journal of Applied Psychology, 93(1), 189. https://doi.org/10.1037/0021-9010.93.1.189
Holmes, R. (2020). Is COVID-19 social media’s levelling up moment? Forbes April 24. Retrieved October 39, 2020, from https://www.forbes.com/sites/ryanholmes/2020/04/24/is-covid-19-social-mediaslevelling-up-moment/#32e022256c60
Judge, T. A., Rodell, J. B., Klinger, R. L., Simon, L. S., & Crawford, E. R. (2013). Hierarchical representations of the five-factor model of personality in predicting job performance: integrating three organizing frameworks with two theoretical perspectives. Journal of Applied Psychology, 98(6), 875–925. https://doi.org/10.1037/a0033901
Kalin, N. H. (2020). The critical relationship between anxiety and depression. American Journal of Psychiatry, 177(5), 365–367. https://doi.org/10.1176/appi.ajp.2020.20030305
Kessler, R. C., Berglund, P., Demler, O., Jin, R., Merikangas, K. R., & Walters, E. E. (2005). Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Archives of General Psychiatry, 62(6), 593–602. https://doi.org/10.1001/archpsyc.62.6.593
Kessler, R. C., Sampson, N. A., Berglund, P., Gruber, M. J., Al-Hamzawi, A., Andrade, L., et al. (2015). Anxious and non-anxious major depressive disorder in the World Health Organization World Mental Health Surveys. Epidemiology and Psychiatric Sciences, 24(3), 210–226. https://doi.org/10.1017/S2045796015000189
Kluemper, D. H., & Rosen, P. A. (2009). Future employment selection methods: evaluating social networking web sites. Journal of Managerial Psychology., 24(6), 567–580. https://doi.org/10.1108/02683940910974134
Koch, T., Gerber, C., & De Klerk, J. J. (2018). The impact of social media on recruitment: are you LinkedIn? SA Journal of Human Resource Management, 16(1), 1–14 https://hdl.handle.net/10520/EJC-ef4d64ce8
Kotov, R., Gamez, W., Schmidt, F., & Watson, D. (2010). Linking “big” personality traits to anxiety, depressive, and substance use disorders: a meta-analysis. Psychological Bulletin, 136(5), 768–821. https://doi.org/10.1037/a0020327
Lahey, J. N. (2008). Age, women, and hiring an experimental study. Journal of Human Resources, 43(1), 30–56. https://doi.org/10.3368/jhr.43.1.30
Laajaj, R., Macours, K., Pinzon Hernandez, D. A., Arias, O., Gosling, S. D., Potter, J., et al. (2019). Challenges to capture the big five personality traits in non-WEIRD populations. Science Advances, 5(7). https://doi.org/10.1126/sciadv.aaw5226
Levashina, J., Hartwell, C. J., Morgeson, F. P., & Campion, M. A. (2014). The structured employment interview: narrative and quantitative review of the research literature. Personnel Psychology, 67(1), 241–293. https://doi.org/10.1111/peps.12052
Lewis-Bungay, T. (2021). What is the viral #PostYourPill trend, and how is it destigmatising mental health medication? Retrieved May 20, 2022, from https://www.glamourmagazine.co.uk/article/post-your-pill-trend.
Liu, T., Liu, Z., Zhang, L., & Mu, S. (2022). Dispositional mindfulness mediates the relationship between conscientiousness and mental health-related issues in adolescents during the COVID-19 pandemic. Personality and Individual Differences, 123(4), 1083–1098. https://doi.org/10.1177/0033294119841848
McBride, A., Hebson, G., & Holgate, J. (2015). Intersectionality: are we taking enough notice in the field of work and employment relations? Work, Employment and Society, 29(2), 331–341. https://doi.org/10.1177/0950017014538337
Murman, D. L. (2015). The impact of age on cognition. In Seminars in hearing (Vol. 36, No. 03, pp. 111–121). Thieme Medical Publishers.
National Alliance on Mental Illness (NAMI). (2022). Mental health by the numbers. NAMI. Retrieved May 25, 2022, from https://www.nami.org/mhstats
National Institute of Mental Health (US). (1999). Anxiety disorders. National Institute of Mental Health.
Nikčević, A. V., Marino, C., Kolubinski, D. C., Leach, D., & Spada, M. M. (2021). Modeling the contribution of the Big Five personality traits, health anxiety, and COVID-19 psychological distress to generalised anxiety and depressive symptoms during the COVID-19 pandemic. Journal of Affective Disorders, 279, 578–584. https://doi.org/10.1016/j.jad.2020.10.053
Organ, D. W. (1997). Organizational citizenship behavior: it’s construct clean-up time. Human Performance, 10(2), 85–97. https://doi.org/10.1207/s15327043hup1002_2
Organ, D. W., Podsakoff, P. M., & Podsakoff, N. P. (2011). Expanding the criterion domain to include organizational citizenship behavior: implications for employee selection. In S. Zedeck (Ed.), APA Handbook of Industrial and Organizational Psychology, Volume 2. Selecting and developing members for the organization (pp. 281–323). American Psychological Association. https://doi.org/10.1037/12170-010
Pager, D. (2003). The mark of a criminal record. American Journal of Sociology, 108(5), 937–975. https://doi.org/10.1086/374403
Palan, S., & Schitter, C. (2018). Prolific. ac—a subject pool for online experiments. Journal of Behavioral and Experimental Finance, 17, 22–27. https://doi.org/10.1016/j.jbef.2017.12.004
Peer, E., Brandimarte, L., Samat, S., & Acquisti, A. (2017). Beyond the Turk: alternative platforms for crowdsourcing behavioral research. Journal of Experimental Social Psychology, 70, 153–163. https://doi.org/10.1016/j.jesp.2017.01.006
Pu, W., Roth, P. L., Thatcher, J. B., Nittrouer, C. L., & Hebl, M. (2022). Post-traumatic stress disorder and hiring: the role of social media disclosures on stigma and hiring assessments of veterans. Personnel Psychology, 76(1), 41–75. https://doi.org/10.1111/peps.12520
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. https://doi.org/10.1016/j.hrmr.2008.07.001
Roth, P. L., Bobko, P., Van Iddekinge, C. H., & Thatcher, J. B. (2016). Social media in employee-selection-related decisions: A research agenda for uncharted territory. Journal of Management, 42(1), 269–298.
Roth, P. L., Thatcher, J. B., Bobko, P., Matthews, K. D., Ellingson, J. E., & Goldberg, C. B. (2020). Political affiliation and employment screening decisions: the role of similarity and identification processes. Journal of Applied Psychology, 105(5), 472–486. https://doi.org/10.1037/apl0000422
Roulin, N., & Levashina, J. (2019). LinkedIn as a new selection method: psychometric properties and assessment approach. Personnel Psychology, 72(2), 187–211. https://doi.org/10.1111/peps.12296
Rüsch, N., Angermeyer, M. C., & Corrigan, P. W. (2005). Mental illness stigma: concepts, consequences, and initiatives to reduce stigma. European Psychiatry, 20(8), 529–539. https://doi.org/10.1016/j.eurpsy.2005.04.004
Saha, K., Torous, J., Caine, E. D., & De Choudhury, M. (2020). Social media reveals psychosocial effects of the COVID-19 pandemic: a large-scale quasi-experimental study. Journal of Medical Internet Research. Advance online publication. https://doi.org/10.2196/22600
SHRM. (2018). Using social media for talent acquisition. Society for Human Resource Management (SHRM). Retrieved May 25, 2022, from https://www.shrm.org/hr-today/trends-and-forecasting/research-and-surveys/Pages/Social-Media-Recruiting-Screening-2015.aspx
Slovensky, R., & Ross, W. H. (2012). Should human resource managers use social media to screen job applicants? Managerial and legal issues in the USA. Info, 14(1), 55–69. https://doi.org/10.1108/14636691211196941
Swider, B. W., Harris, T. B., & Gong, Q. (2021). First impression effects in organizational psychology. Journal of Applied Psychology, 107(3), 346–369. https://doi.org/10.1037/apl0000921
Tabachnick, B. G., & Fidel, L. S. (2013). Using multivariate statistics. Pearson Education Limited.
Taniguchi, E., & Glowacki, E. M. (2021). Reactions to depression disclosure on Facebook: evaluating the effects of self-presentation style and peer comments. Stigma and Health. Advance online publication. https://doi.org/10.1037/sah0000309
Tews, M. J., Stafford, K., & Zhu, J. (2009). Beauty revisited: the impact of attractiveness, ability, and personality in the assessment of employment suitability. International Journal of Selection and Assessment, 17(1), 92–100. https://doi.org/10.1111/j.1468-2389.2009.00454.x
Tran, U. S., Wasserbauer, J., & Voracek, M. (2020). Testing the incremental validity of dispositional mindfulness over and above the Big Five in accounting for mental health: a facet-level structural-equation modeling and predictor communality and dominance approach. Personality and Individual Differences, 156, 109769. https://doi.org/10.1016/j.paid.2019.109769
Tsang, H. W., Angell, B., Corrigan, P. W., Lee, Y. T., Shi, K., Lam, C. S., et al. (2007). A cross-cultural study of employers’ concerns about hiring people with psychotic disorder: implications for recovery. Social Psychiatry and Psychiatric Epidemiology, 42(9), 723–733. https://doi.org/10.1007/s00127-007-0208-x
U.S. Department of Health and Human Services. (2022). Major depression. National Institute of Mental Health. Retrieved May 10, 2022, from https://www.nimh.nih.gov/health/statistics/major-depression
Warren, L. W. (1983). Male intolerance of depression: a review with implications for psychotherapy. Clinical Psychology Review, 3(2), 147–156. https://doi.org/10.1016/0272-7358(83)90009-0
Watson, D., Wiese, D., Vaidya, J., & Tellegen, A. (1999). The two general activation systems of affect: structural findings, evolutionary considerations, and psychobiological evidence. Journal of Personality and Social Psychology, 76(5), 820–838.
Weidner, N., O’Brien, K. E., & Wynne, K. T. (2016). Social media use: antecedents and outcomes of sharing. In R. N. Landers & G. B. Schmidt (Eds.), Social media in employee selection and recruitment (pp. 79–101). Springer, Cham.
Williams, L. J., & Anderson, S. E. (1991). Job satisfaction and organizational commitment as predictors of organizational citizenship and in-role behaviors. Journal of Management, 17(3), 601–617. https://doi.org/10.1177/014920639101700305
World Health Organization. (2020). World Mental Health Day: an opportunity to kick-start a massive scale-up in investment in Mental Health. World Health Organization. Retrieved March 15, 2022, from https://www.who.int/news/item/27-08-2020-world-mental-health-day-an-opportunity-to-kick-start-a-massive-scale-up-in-investment-in-mental-health#:~:text=Mental%20health%20is%20one%20of, every%2040%20seconds%20by%20suicide
World Health Organization. (2022). Covid-19 pandemic triggers 25% increase in prevalence of anxiety and depression worldwide. World Health Organization. Retrieved March 15, 2022, from https://www.who.int/news/item/02-03-2022-covid-19-pandemic-triggers-25-increase-in-prevalence-of-anxiety-and-depression-worldwide
Zahn-Waxler, C., Klimes-Dougan, B., & Slattery, M. J. (2000). Internalizing problems of childhood and adolescence: Prospects, pitfalls, and progress in understanding the development of anxiety and depression. Development and Psychopathology, 12(3), 443–466. https://doi.org/10.1017/S0954579400003102
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McChesney, J., Foster, L. Is It #okaytosay I Have Anxiety and Depression? Evaluations of Job Applicants Who Disclose Mental Health Problems on LinkedIn. J Bus Psychol (2023). https://doi.org/10.1007/s10869-023-09907-6
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DOI: https://doi.org/10.1007/s10869-023-09907-6