2004
Volume 39, Issue 1
  • ISSN: 0921-5077
  • E-ISSN: 1875-7235

Abstract

Abstract

Social media platforms are increasingly used to screen job applicants for talent, with LinkedIn being the most widely used professional social media site. However, despite the aging workforce and labor market shortages, research on age discrimination during LinkedIn screening remains limited. Based on impression formation theories and the stereotype content model, this study examined age discrimination among female applicants during LinkedIn screening, as well as the role of recommendations and age-related stereotypes among recruiters. Through an experimental within-subjects study with 239 recruiters, we found that older applicants received lower job suitability ratings than equally qualified younger applicants. Having a recommendation that emphasizes warmth or competence benefits both older and younger applicants, but younger applicants benefit more when both warmth and competence are highlighted in recommendations than older applicants. Positive age-related stereotypes regarding warmth and competence do not affect age discrimination. These findings provide valuable insights into the use of LinkedIn screening for both organizations and job seekers.

Loading

Article metrics loading...

/content/journals/10.5117/GO2026.1.004.SCHE
2026-03-01
2026-03-22
Loading full text...

Full text loading...

/deliver/fulltext/09215077/39/1/GO2026.1.004.SCHE.html?itemId=/content/journals/10.5117/GO2026.1.004.SCHE&mimeType=html&fmt=ahah

References

  1. Agerström, J., Björklund, F., Carlsson, R., & Rooth, D. O. (2012). Warm and competent Hassan = Cold and incompetent Eric: A harsh equation of real-life hiring discrimination. Basic and Applied Social Psychology, 34(4), 359-366. https://doi.org/10.1080/01973533.2012.693438
    [Google Scholar]
  2. Baert, S. (2018). Facebook profile picture appearance affects recruiters’ first hiring decisions. New Media and Society, 20(3), 1220-1239. https://doi.org/10.1177/1461444816687294
    [Google Scholar]
  3. Bal, A. C., Reiss, A. E. B., Rudolph, C. W., & Baltes, B. B. (2011). Examining positive and negative perceptions of older workers: A meta-analysis. Journals of Gerontology, Series B: Psychological Sciences and Social Sciences, 66(6), 687-698. https://doi.org/10.1093/geronb/gbr056
    [Google Scholar]
  4. Batinovic, L., Howe, M., Sinclair, S., & Carlsson, R. (2023). Ageism in hiring: A systematic review and meta-analysis of age discrimination. Collabra: Psychology, 9(1), 82194. https://doi.org/10.1525/collabra.82194
    [Google Scholar]
  5. Behrend, T. S., Ravid, D. M., & Thapa, S. (2024). Implications of social media for a changing work landscape. Annual Review of Organizational Psychology and Organizational Behavior, 11, 337-361. https://doi.org/10.1146/annurev-orgpsych-110721
    [Google Scholar]
  6. Berdahl, J. L., & Moore, C. (2006). Workplace harassment: Double jeopardy for minority women. Journal of Applied Psychology, 91(2), 426-436. https://doi.org/10.1037/0021-9010.91.2.426
    [Google Scholar]
  7. Berkelaar, B. L. (2017). Different ways new information technologies influence conventional organizational practices and employment relationships: The case of cybervetting for personnel selection. Human Relations, 70(9), 1115-1140. https://doi.org/10.1177/0018726716686400
    [Google Scholar]
  8. Bernerth, J. B., & Aguinis, H. (2016). A critical review and best-practice recommendations for control variable usage. Personnel Psychology, 69(1), 229-283. https://doi.org/10.1111/peps.12103
    [Google Scholar]
  9. Bloothooft, G. (2022). Voornamen in Vlaanderen vanaf 1900. Neerlandistiek. https://neerlandistiek.nl/2022/03/voornamen-in-vlaanderen-vanaf-1900/
    [Google Scholar]
  10. Bornstein, M. H., Jager, J., & Putnick, D. L. (2013). Sampling in developmental science: Situations, shortcomings, solutions, and standards. Developmental Review, 33(4), 357-370. https://doi.org/10.1016/j.dr.2013.08.003
    [Google Scholar]
  11. Brewer, M. (1988). A dual process model of impression formation. In T. K.Srull & R. S.Wyer (Eds.), A dual process model of impression formation (pp. 1-36). Lawrence Erlbaum.
    [Google Scholar]
  12. Brewer, M. B., & Feinstein, A. S. H. (1999). Dual processes in the cognitive representation of persons and social categories. In S.Chaiken & Y.Trope (Eds.), Dual-process theories in social psychology (pp. 255-270). The Guilford Press.
    [Google Scholar]
  13. Buijsrogge, A., Duyck, W., & Derous, E. (2021). Initial impression formation during the job interview: Anchors that drive biased decision-making against stigmatized applicants. European Journal of Work and Organizational Psychology, 30(2), 305-318. https://doi.org/10.1080/1359432X.2020.1833980
    [Google Scholar]
  14. Büsch, V., Dittrich, D. A. V., & Königstein, M. (2009). Hiring chances are bad for older workers. SSRN Electronic Journal, 9, 1-23. https://doi.org/10.2139/ssrn.1434351
    [Google Scholar]
  15. Caers, R., & Castelyns, V. (2011). LinkedIn and Facebook in Belgium: The influences and biases of social network sites in recruitment and selection procedures. Social Science Computer Review, 29(4), 437-448. https://doi.org/10.1177/0894439310386567
    [Google Scholar]
  16. Capik, C., & Gozum, S. (2014). Psychometric features of an assessment instrument with Likert and dichotomous response formats. Public Health Nursing, 32(1), 81-86. https://doi.org/10.1111/phn.12156
    [Google Scholar]
  17. Carlsson, M., & Eriksson, S. (2019). Age discrimination in hiring decisions: Evidence from a field experiment in the labor market. Labour Economics, 59, 173-183. https://doi.org/10.1016/j.labeco.2019.03.002
    [Google Scholar]
  18. Chang, R., Wei, X., Zhang, X., Xiong, H., & Zhu, H. (2024). How recommendation letters affect career mobility: Evidence from a social networking sites LinkedIn. Computers in Human Behavior, 152, 1-10. https://doi.org/10.1016/j.chb.2023.108084
    [Google Scholar]
  19. Cho, Y., Mills, M. J., & Grotto, A. R. (2022). Drawing on attributional augmenting to unlock the potential of cybervetting to combat gender discrimination in hiring. Industrial and Organizational Psychology, 15(3), 378-381. https://doi.org/10.1017/iop.2022.40
    [Google Scholar]
  20. Christopher, A. (1998). The psychology of names: An empirical reexamination. Journal of Applied Social Psychology, 28(13), 1173-1195. https://doi.org/10.1111/j.1559-1816.1998.tb01673.x
    [Google Scholar]
  21. Cleveland, J. N., & Hollmann, G. (1990). The effects of the age-type of tasks and incumbent age composition on job perceptions. Journal of Vocational Behavior, 36(2), 181-194. https://doi.org/10.1016/0001-8791(90)90026-X
    [Google Scholar]
  22. Correll, S. J., Benard, S., & Paik, I. (2007). Getting a job: Is there a motherhood penalty. American Journal of Sociology, 112(5), 1297-1338.
    [Google Scholar]
  23. Cuddy, A. J. C., & Fiske, S. T. (2002). Doddering but dear: Process, content, and function in stereotyping of older persons. In T.Nelson (Ed.), Ageism: Stereotyping and prejudice against older persons (pp. 3-26). MIT Press. https://doi.org/10.1111/j.1540-4560.2005.00405.x
    [Google Scholar]
  24. Cuddy, A. J. C., Fiske, S. T., Kwan, V. S. Y., Glick, P., Demoulin, S., Leyens, J. P., Bond, M. H., Croizet, J. C., Ellemers, N., Sleebos, E., Htun, T. T., Kim, H. J., Maio, G., Perry, J., Petkova, K., Todorov, V., Rodríguez-Bailón, R., Morales, E., Moya, M., … Ziegler, R. (2009). Stereotype content model across cultures: Towards universal similarities and some differences. British Journal of Social Psychology, 48(1), 1-33. https://doi.org/10.1348/014466608X314935
    [Google Scholar]
  25. Davis, J., Wolff, H. G., Forret, M. L., & Sullivan, S. E. (2020). Networking via LinkedIn: An examination of usage and career benefits. Journal of Vocational Behavior, 118, 103396. https://doi.org/10.1016/j.jvb.2020.103396
    [Google Scholar]
  26. Derous, E., Buijsrogge, A., & Hiemstra, A. M. F. (2018). Een beeld zegt meer dan 1000 woorden? Een experimentele studie naar effecten van visuele stigma’s op video-cv-beoordelingen. Gedrag & Organisatie, 31(3), 189-216. https://doi.org/10.5117/2018.031.003.002
    [Google Scholar]
  27. Derous, E., Buijsrogge, A., Roulin, N., & Duyck, W. (2016). Why your stigma isn’t hired: A dual-process framework of interview bias. Human Resource Management Review, 26(2), 90-111. https://doi.org/10.1016/j.hrmr.2015.09.006
    [Google Scholar]
  28. Derous, E., & Decoster, J. (2017). Implicit age cues in resumes: Subtle effects on hiring discrimination. Frontiers in Psychology, 8(1321), 1-15. https://doi.org/10.3389/fpsyg.2017.01321
    [Google Scholar]
  29. Derous, E., & Pepermans, R. (2019). Gender discrimination in hiring: Intersectional effects with ethnicity and cognitive job demands. Archives of Scientific Psychology, 7(1), 40-49. https://doi.org/10.1037/arc0000061
    [Google Scholar]
  30. Derous, E., & Ryan, A. M. (2019). When your resume is (not) turning you down: Modelling ethnic bias in resume screening. Human Resource Management Journal, 29(2), 113-130. https://doi.org/10.1111/1748-8583.12217
    [Google Scholar]
  31. Drury, L., Frasca, K. J., Schellaert, M., & Derous, E. (2022). Age stereotyping in resume screening: Don’t throw the baby out with the bathwater. Work, Aging and Retirement, 8(4), 331-334. https://doi.org/10.1093/workar/waac007
    [Google Scholar]
  32. Eckes, T. (2002). Paternalistic and envious gender stereotypes: Testing predictions from the stereotype content model. Sex Roles, 47(3/4), 99-114. https://doi.org/10.1023/A:1021020920715
    [Google Scholar]
  33. European Union. (2025). Richtlijn 2000/78/EG van de Raad van 27 november 2000 tot in-stelling van een algemeen kader voor gelijke behandeling in arbeid en beroep.EUR-Lex. https://eur-lex.europa.eu/legal-content/NL/TXT/?uri=CELEX:32000L0078
    [Google Scholar]
  34. Evans, J. S. B. T. (2008). Dual-processing accounts of reasoning, judgment, and social cognition. Annual Review of Psychology, 59, 255-278. https://doi.org/10.1146/annurev.psych.59.103006.093629
    [Google Scholar]
  35. Ferguson, M. J., Mann, T. C., Cone, J., & Shen, X. (2019). When and how implicit first impressions can be updated. Current Directions in Psychological Science, 28(4), 331-336. https://doi.org/10.1177/0963721419835206
    [Google Scholar]
  36. Finkelstein, L. M., Burke, M. J., & Raju, N. S. (1995). Age discrimination in simulated employment contexts: An integrative analysis. Journal of Applied Psychology, 80(6), 652-663. https://doi.org/10.1037/0021-9010.80.6.652
    [Google Scholar]
  37. 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. https://doi.org/10.1016/j.hrmr.2016.06.001
    [Google Scholar]
  38. Fiske, S. T., Cuddy, A. J. C., Glick, P., & Xu, J. (2002). A model of (often mixed) stereotype content: Competence and warmth respectively follow from perceived status and competition. Journal of Personality and Social Psychology, 82(6), 878-902. https://doi.org/10.1037/0022-3514.82.6.878
    [Google Scholar]
  39. Fiske, S. T., Lin, M., & Neuberg, S. L. (2018). The continuum model: Ten years later. In S.Fiske, Social cognition: Selected works of Susan Fiske (pp. 41-75). Routledge.
    [Google Scholar]
  40. Francioli, S. P., & North, M. S. (2021). Youngism: The content, causes, and consequences of prejudices toward younger adults. Journal of Experimental Psychology: General, 150(12), 2591-2612. https://doi.org/10.1037/xge0001064
    [Google Scholar]
  41. Generated Photos. (n.d.). https://generated.photos
  42. Gioaba, I., & Krings, F. (2017). Impression management in the job interview: An effective way of mitigating discrimination against older applicants? Frontiers in Psychology, 8(770), 1-12. https://doi.org/10.3389/fpsyg.2017.00770
    [Google Scholar]
  43. Hanscom, M. E. (2017). Succesfull aging at work and age-related contextual information influence simulated performance appraisal decisions [Colorado State University]. https://minerva-access.unimelb.edu.au/handle/11343/56627%0Ahttp://www.academia.edu/download/39541120/performance_culture.doc
    [Google Scholar]
  44. He, J. C., Kang, S. K., Tse, K., & Toh, S. M. (2019). Stereotypes at work: Occupational stereotypes predict race and gender segregation in the workforce. Journal of Vocational Behavior, 115, 103318. https://doi.org/10.1016/j.jvb.2019.103318
    [Google Scholar]
  45. Henderson, K. E., & Welsh, E. T. (2023). Potential bias when using social media for selection: Differential effects of candidate demographic characteristics, race match, perceived similarity, and profile detail. International Journal of Selection and Assessment, 32, 149-167. https://doi.org/10.1111/ijsa.12454
    [Google Scholar]
  46. Hosain, M. S. (2023). Integration of social media into HRM practices: A bibliometric overview. PSU Research Review, 7(1), 51-72. https://doi.org/10.1108/PRR-12-2020-0039
    [Google Scholar]
  47. Hosain, Md. S., & Mamun, A. M. A. (2023). The roles of LinkedIn-based skill endorsements and LinkedIn-based hiring recommendations on hiring preferences: Evidence from Bangladeshi employers. Management Matters, 20(2), 169-184. https://doi.org/10.1108/manm-05-2023-0021
    [Google Scholar]
  48. Ito, T. A., Larsen, J. T., Smith, N. K., & Cacioppo, J. T. (1998). Negative information weighs more heavily on the brain: The negativity bias in evaluative categorizations. Journal of Personality and Social Psychology, 75(4), 887-900. https://doi.org/10.1037/0022-3514.75.4.887
    [Google Scholar]
  49. Jobvite. (2020). Recruiter Nation Survey. https://www.jobvite.com/wp-content/uploads/2015/09/jobvite_recruiter_nation_2015.pdf
    [Google Scholar]
  50. Kite, M. E., Stockdale, G. D., Whitley, B. E., & Johnson, B. T. (2005). Attitudes toward younger and older adults: An updated meta-analytic review. Journal of Social Issues, 61(2), 241-266. https://doi.org/10.1111/j.1540-4560.2005.00404.x
    [Google Scholar]
  51. Klein, N., & O’Brien, E. (2018). People use less information than they think to make up their minds. Proceedings of the National Academy of Sciences of the United States of America, 115(52), 13222-13227. https://doi.org/10.1073/pnas.1805327115
    [Google Scholar]
  52. Krekula, C., Nikander, P., & Wilińska, M. (2018). Multiple marginalizations based on age: Gendered ageism and beyond. In L.Ayalon & C.Tesch-Römer (Eds.), International perspectives on aging (Vol. 19, pp. 33-50). Springer. https://doi.org/10.1007/978-3-319-73820-8_3
    [Google Scholar]
  53. Krings, F., Gioaba, I., Kaufmann, M., Sczesny, S., & Zebrowitz, L. (2021). Older and younger job seekers’ impression management on LinkedIn: Similar strategies, different outcomes. Journal of Personnel Psychology, 20(2), 61-74. https://doi.org/10.1027/1866-5888/a000269
    [Google Scholar]
  54. Landers, R. N., & Behrend, T. S. (2015). An inconvenient truth: Arbitrary distinctions between organizational, mechanical turk, and other convenience samples. Industrial and Organizational Psychology, 8(2), 142-164. https://doi.org/10.1017/iop.2015.13
    [Google Scholar]
  55. Leslie, L. M., King, E. B., Bradley, J. C., & Hebl, M. R. (2008). Triangulation across methodologies: All signs point to persistent stereotyping and discrimination in organizations. Industrial and Organizational Psychology, 1(4), 399-404. https://doi.org/10.1111/j.1754-9434.2008.00073.x
    [Google Scholar]
  56. LinkedIn. (2025). LinkedIn. https://about.linkedin.com/
    [Google Scholar]
  57. Linne, R., Schäfer, M., & Bohner, G. (2022). Ambivalent stereotypes and persuasion: Attitudinal effects of warmth vs. competence ascribed to message sources. Frontiers in Psychology, 12, 782480. https://doi.org/10.3389/fpsyg.2021.782480
    [Google Scholar]
  58. Lippens, L., Vermeiren, S., & Baert, S. (2023). The state of hiring discrimination: A meta-analysis of (almost) all recent correspondence experiments. European Economic Review, 151, 104315. https://doi.org/10.1016/j.euroecorev.2022.104315
    [Google Scholar]
  59. Marcus, J., & Fritzsche, B. A. (2015). One size doesn’t fit all: Toward a theory on the intersectional salience of ageism at work. Organizational Psychology Review, 5(2), 168-188. https://doi.org/10.1177/2041386614556015
    [Google Scholar]
  60. Marcus, J., Fritzsche, B. A., Le, H., & Reeves, M. D. (2016). Validation of the work-related age-based stereotypes (WAS) scale. Journal of Managerial Psychology, 31(5), 989-1004. https://doi.org/10.1108/JMP-11-2014-0320
    [Google Scholar]
  61. Melão, N., & Reis, J. (2020). Selecting talent using social networks: A mixed-methods study. Heliyon, 6(4), 1-11. https://doi.org/10.1016/j.heliyon.2020.e03723
    [Google Scholar]
  62. Mönke, F. W., Bürger, A. S., Steinbrecher, J., Heinemann, H., Prüßmeier, P. L., & Schäpers, P. (2025). When less is not more: Incomplete information in LinkedIn assessments and the moderating role of applicants’ résumé. Journal of Business and Psychology, 40, 1465-1491. https://doi.org/10.1007/s10869-025-10032-9
    [Google Scholar]
  63. Mönke, F. W., Lievens, F., Hess, U., & Schäpers, P. (2024). Politics speak louder than skills: Political similarity effects in hireability judgments in multiparty contexts and the role of political interest. Journal of Applied Psychology, 109(1), 1-12. https://doi.org/10.1037/apl0001124
    [Google Scholar]
  64. Mönke, F. W., & Schäpers, P. (2022). Too early to call: What we do (not) know about the validity of cybervetting. Industrial and Organizational Psychology, 15(3), 334-341. https://doi.org/10.1017/iop.2022.51
    [Google Scholar]
  65. Neumark, D., Burn, I., & Button, P. (2019). Is it harder for older workers to find jobs? New and improved evidence from a field experiment. Journal of Political Economy, 127(2), 922-970. https://doi.org/10.1086/701029
    [Google Scholar]
  66. Ng, T. W. H., & Feldman, D. C. (2012). Evaluating six common stereotypes about older workers with meta-analytical data. Personnel Psychology, 65(4), 821-858. https://doi.org/10.1111/peps.12003
    [Google Scholar]
  67. Nikolaou, I. (2014). Social networking web sites in job search. International Journal of Selection and Assessment, 22(2), 179-189. https://doi.org/10.1111/ijsa.12067
    [Google Scholar]
  68. Perry, E. L., Kulik, C. T., & Bourhis, A. C. (1996). Moderating effects of personal and contextual factors in age discrimination. Journal of Applied Psychology, 81(6), 628-647. https://doi.org/10.1037/0021-9010.81.6.628
    [Google Scholar]
  69. Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903. https://doi.org/10.1037/0021-9010.88.5.879
    [Google Scholar]
  70. Reeves, M. D., Fritzsche, B. A., Marcus, J., Smith, N. A., & Ng, Y. L. (2021). “Beware the young doctor and the old barber”: Development and validation of a job age-type spectrum. Journal of Vocational Behavior, 129, 103616. https://doi.org/10.1016/j.jvb.2021.103616
    [Google Scholar]
  71. Roulin, N., & Fernandez, S. (2022). Cybervetting: Facebook is dead, long live LinkedIn? Industrial and Organizational Psychology, 15(3), 365-370. https://doi.org/10.1017/iop.2022.45
    [Google Scholar]
  72. 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
    [Google Scholar]
  73. Roulin, N., & Stronach, R. (2022). LinkedIn-based assessments of applicant personality, cognitive ability, and likelihood of organizational citizenship behaviors: Comparing self-, other-, and language-based automated ratings. International Journal of Selection and Assessment, 30(4), 503-525. https://doi.org/10.1111/ijsa.12396
    [Google Scholar]
  74. Rudolph, C. W., Marcus, J., & Zacher, H. (2018). Global issues in work, aging, and retirement. In K. S.Shultz & G. A.Adams (Eds.), Aging and work in the 21st century (2nd ed., pp. 292-324). Series in Applied Psychology. Routledge. https://doi.org/10.4324/9781315167602-14
    [Google Scholar]
  75. Rui, J. R. (2018). Objective evaluation or collective self-presentation: What people expect of LinkedIn recommendations. Computers in Human Behavior, 89, 121-128. https://doi.org/10.1016/j.chb.2018.07.025
    [Google Scholar]
  76. Ruparel, N., Bhardwaj, S., Seth, H., & Choubisa, R. (2023). Systematic literature review of professional social media platforms: Development of a behavior adoption career development framework. Journal of Business Research, 156, 113482. https://doi.org/10.1016/j.jbusres.2022.113482
    [Google Scholar]
  77. Schellaert, M., Oostrom, J. K., & Derous, E. (2025). Ageism on LinkedIn: Discrimination towards older applicants during LinkedIn screening. Computers in Human Behavior, 162, 108430. https://doi.org/10.1016/j.chb.2024.108430
    [Google Scholar]
  78. Schroeder, A. N., Odd, K. R., & Whitaker, J. H. (2020). Agree to disagree: Examining the psychometrics of cybervetting. Journal of Managerial Psychology, 35(5), 435-450. https://doi.org/10.1108/JMP-09-2018-0420
    [Google Scholar]
  79. Shinar, E. (1975). Sexual stereotypes of occupations. Journal of Vocational Behavior, 7, 99-111. https://doi.org/10.1016/0001-8791(75)90037-8
    [Google Scholar]
  80. Sinclair, C., Joffe, T., Ginnivan, N., Parker, S. K., & Anstey, K. J. (2024). A scoping review of workplace interventions to promote positive attitudes toward older workers and reduce age-based discrimination. Work, Aging and Retirement, 10(2), 61-76. https://doi.org/10.1093/workar/waad013
    [Google Scholar]
  81. Statbel. (2022). Voornamen meisjes en jongens geboren in België (2020-2022). Bevolkingsstatistieken. https://statbel.fgov.be/nl/themas/bevolking/namen-en-voornamen/voornamen-van-meisjes-en-jongens#panel-12
    [Google Scholar]
  82. Stöber, J. (2001). The social desirability scale-17 (SDS-17): Convergent validity, discriminant validity, and relationship with age. European Journal of Psychological Assessment, 17, 222-232. https://doi.org/10.1027//1015-5759.17.3.222
    [Google Scholar]
  83. Strinić, A., Carlsson, M., & Agerström, J. (2021). Multiple-group membership: Warmth and competence perceptions in the workplace. Journal of Business and Psychology, 36(5), 903-920. https://doi.org/10.1007/s10869-020-09713-4
    [Google Scholar]
  84. Strinić, A., Carlsson, M., & Agerström, J. (2022). Occupational stereotypes: professionals’ warmth and competence perceptions of occupations. Personnel Review, 51(2), 603-619. https://doi.org/10.1108/PR-06-2020-0458
    [Google Scholar]
  85. Thorpe, S., Fize, D., & Marlot, C. (1996). Speed of processing in the human visual system. Nature, 381, 520-522. https://doi.org/10.1038/381520a0
    [Google Scholar]
  86. Van Bavel, J. J., & Cunningham, W. A. (2009). Self-categorization with a novel mixed-race group moderates automatic social and racial biases. Personality and Social Psychology Bulletin, 35(3), 321-335. https://doi.org/10.1177/0146167208327743
    [Google Scholar]
  87. Woods, S. A., Ahmed, S., Nikolaou, I., Costa, A. C., & Anderson, N. R. (2020). Personnel selection in the digital age: A review of validity and applicant reactions, and future research challenges and future research challenges. European Journal of Work and Organizational Psychology, 29(1), 64-77. https://doi.org/10.1080/1359432X.2019.1681401
    [Google Scholar]
  88. Wyer, N. A. (2010). You never get a second chance to make a first (implicit) impression: The role of elaboration in the formation and revision of implicit impressions. Social Cognition, 28(1), 1-19. https://doi.org/10.1521/soco.2010.28.1.1
    [Google Scholar]
  89. Zaniboni, S., Kmicinska, M., Truxillo, D. M., Kahn, K., Paladino, M. P., & Fraccaroli, F. (2019). Will you still hire me when I am over 50? The effects of implicit and explicit age stereotyping on resume evaluations. European Journal of Work and Organizational Psychology, 28(4), 453-467. https://doi.org/10.1080/1359432X.2019.1600506
    [Google Scholar]
  90. 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? A content 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]
/content/journals/10.5117/GO2026.1.004.SCHE
Loading
/content/journals/10.5117/GO2026.1.004.SCHE
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error