School of Management.
College of Business.
J Appl Psychol. 2020 Dec;105(12):1530-1546. doi: 10.1037/apl0000490. Epub 2020 Mar 12.
Many organizational representatives review social media (SM) information (e.g., Facebook, Twitter) when recruiting and assessing job applicants. Despite this, very little empirical data exist concerning the SM information available to organizations or whether assessments of such information are a valid predictor of work outcomes. This multistudy investigation examines several critical issues in this emerging area. In Study 1, we conducted a content analysis of job seekers' Facebook sites ( = 266) and found that these sites often provide demographic variables that U.S. employment laws typically prohibit organizations from using when making personnel decisions (e.g., age, ethnicity, and religion), as well as other personal information that is not work-related (e.g., sexual orientation, marital status). In Study 2 ( = 140), we examined whether job seekers' SM information is related to recruiter evaluations. Results revealed that various types of SM information correlated with recruiter judgments of hireability, including demographic variables (e.g., gender, marital status), variables organizations routinely assess (e.g., education, training, and skills), and variables that may be a concern to organizations (e.g., profanity, sexual behavior). In Study 3 ( = 81), we examined whether structuring SM assessments (e.g., via rater training) affects criterion-related validity. Results showed that structuring SM assessments did not appear to improve the prediction of future job performance or withdrawal intentions. Overall, the present findings suggest that organizations should be cautious about assessing SM information during the staffing process. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
许多组织代表在招聘和评估求职者时会查看社交媒体(SM)信息(例如,Facebook、Twitter)。尽管如此,关于组织可获得的 SM 信息或对这些信息的评估是否是工作结果的有效预测指标,几乎没有实证数据。这项多研究调查考察了这一新兴领域的几个关键问题。在研究 1 中,我们对求职者的 Facebook 页面(n = 266)进行了内容分析,发现这些页面通常提供美国就业法通常禁止组织在做出人事决策时使用的人口统计学变量(例如年龄、种族和宗教),以及与工作无关的其他个人信息(例如性取向、婚姻状况)。在研究 2(n = 140)中,我们检验了求职者的 SM 信息是否与招聘人员的评估有关。结果表明,各种类型的 SM 信息与招聘人员对可雇佣性的判断相关,包括人口统计学变量(例如性别、婚姻状况)、组织通常评估的变量(例如教育、培训和技能)以及可能令组织担忧的变量(例如亵渎、性行为)。在研究 3(n = 81)中,我们检验了是否通过评估者培训等方式构建 SM 评估是否会影响效标关联效度。结果表明,构建 SM 评估似乎并没有提高对未来工作绩效或离职意向的预测。总体而言,这些发现表明,组织在招聘过程中应谨慎评估 SM 信息。