{"title":"Examining the Class Ceiling of Large Technology Companies","authors":"Phoebe K. Chua","doi":"10.1145/3406865.3418370","DOIUrl":null,"url":null,"abstract":"Scholars who study hiring and inequality often focus on low-skill, low-wage labor markets. As inequality is driven by both marginalization and privilege, my dissertation complements prior studies by examining the hiring process of large technology companies (e.g., Google, Microsoft, and Facebook). Through a two-year mixed-methods study involving evaluators and applicants, my research illuminates whether and how social class background shapes evaluators? assessments and applicants? preparation and self-presentation strategies. In alignment with ongoing efforts to broaden participation in the technology industry, this study provides strategies for evaluators to enact inclusive hiring practices and ways for applicants to navigate the hiring process.","PeriodicalId":93424,"journal":{"name":"CSCW '20 Companion : conference companion publication of the 2020 Conference on Computer Supported Cooperative Work and Social Computing : October 17-21, 2020, Virtual Event, USA. Conference on Computer-Supported Cooperative Work and So...","volume":"44 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CSCW '20 Companion : conference companion publication of the 2020 Conference on Computer Supported Cooperative Work and Social Computing : October 17-21, 2020, Virtual Event, USA. Conference on Computer-Supported Cooperative Work and So...","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3406865.3418370","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

Scholars who study hiring and inequality often focus on low-skill, low-wage labor markets. As inequality is driven by both marginalization and privilege, my dissertation complements prior studies by examining the hiring process of large technology companies (e.g., Google, Microsoft, and Facebook). Through a two-year mixed-methods study involving evaluators and applicants, my research illuminates whether and how social class background shapes evaluators? assessments and applicants? preparation and self-presentation strategies. In alignment with ongoing efforts to broaden participation in the technology industry, this study provides strategies for evaluators to enact inclusive hiring practices and ways for applicants to navigate the hiring process.
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检视大型科技公司的类别上限
研究雇佣和不平等的学者通常关注低技能、低工资的劳动力市场。由于不平等是由边缘化和特权驱动的,我的论文通过研究大型科技公司(例如b谷歌,微软和Facebook)的招聘过程来补充先前的研究。通过一项涉及评估者和申请人的为期两年的混合方法研究,我的研究阐明了社会阶级背景是否以及如何影响评估者?评估和申请人?准备和自我展示策略。为了配合不断扩大技术行业参与的努力,本研究为评估人员提供了制定包容性招聘实践的策略,以及申请人在招聘过程中导航的方法。
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