Maaike Schellaert , Janneke K. Oostrom , Eva Derous
{"title":"Ageism on LinkedIn: Discrimination towards older applicants during LinkedIn screening","authors":"Maaike Schellaert , Janneke K. Oostrom , Eva Derous","doi":"10.1016/j.chb.2024.108430","DOIUrl":null,"url":null,"abstract":"<div><p>Building on impression formation theories and the stereotype content model, this study examined age bias in LinkedIn screening, which is an understudied topic despite the aging workforce. An experimental study among 366 HR professionals considered the effects of LinkedIn recommendations (warmth/competence) and recruiters' age stereotypes on older applicants' job suitability ratings. First, we investigated and found that LinkedIn screening is prone to bias against older applicants. Furthermore, although having a recommendation on LinkedIn stressing competence or warmth is beneficial for both younger and older applicants, younger applicants benefited more from a recommendation reflecting their competence compared to older applicants. Second, recruiters' positive stereotypes regarding older workers' competence positively influenced job suitability ratings of older job applicants. This positive effect of recruiters' stereotypes was not affected by counter-stereotypical information emphasized through a recommendation. Understanding how applicants' LinkedIn profile affect recruiters’ hiring outcomes might help organizations to develop policies for fair selection procedures.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"162 ","pages":"Article 108430"},"PeriodicalIF":9.0000,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers in Human Behavior","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S074756322400298X","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Building on impression formation theories and the stereotype content model, this study examined age bias in LinkedIn screening, which is an understudied topic despite the aging workforce. An experimental study among 366 HR professionals considered the effects of LinkedIn recommendations (warmth/competence) and recruiters' age stereotypes on older applicants' job suitability ratings. First, we investigated and found that LinkedIn screening is prone to bias against older applicants. Furthermore, although having a recommendation on LinkedIn stressing competence or warmth is beneficial for both younger and older applicants, younger applicants benefited more from a recommendation reflecting their competence compared to older applicants. Second, recruiters' positive stereotypes regarding older workers' competence positively influenced job suitability ratings of older job applicants. This positive effect of recruiters' stereotypes was not affected by counter-stereotypical information emphasized through a recommendation. Understanding how applicants' LinkedIn profile affect recruiters’ hiring outcomes might help organizations to develop policies for fair selection procedures.
期刊介绍:
Computers in Human Behavior is a scholarly journal that explores the psychological aspects of computer use. It covers original theoretical works, research reports, literature reviews, and software and book reviews. The journal examines both the use of computers in psychology, psychiatry, and related fields, and the psychological impact of computer use on individuals, groups, and society. Articles discuss topics such as professional practice, training, research, human development, learning, cognition, personality, and social interactions. It focuses on human interactions with computers, considering the computer as a medium through which human behaviors are shaped and expressed. Professionals interested in the psychological aspects of computer use will find this journal valuable, even with limited knowledge of computers.