Platformization of Inequality: Gender and Race in Digital Labor Platforms

被引：0
作者：
Munoz I. [1 ]
Kim P. [1 ]
O'Neil C. [2 ]
Dunn M. [2 ]
Sawyer S. [1 ]
机构：
[1] Syracuse University, 343 Hinds Hall, Syracuse, 13244, NY
[2] Skidmore College, 815 North Broadway, Saratoga Springs, 12866, NY
来源：
Proceedings of the ACM on Human-Computer Interaction | 2024年 / 8卷 / CSCW1期
基金：
美国国家科学基金会;
关键词：
Digital labor platforms; gender; identity; online freelancing; race; stereotypes;
D O I：
10.1145/3637385
中图分类号：
学科分类号：
摘要：
We contribute empirical and conceptual insights regarding the roles of digital labor platforms in online freelancing, focusing attention to social identities such as gender, race, ethnicity, and occupation. Findings highlight how digital labor platforms reinforce and exacerbate identity-based stereotypes, bias and expectations in online freelance work. We focus on online freelancing as this form of working arrangement is becoming more prevalent. Online freelancing also relies on the market-making power of digital platforms to create an online labor market. Many see this as one likely future of work with less bias. Others worry that labor platforms' market power allows them to embed known biases into new working arrangements: a platformization of inequality. Drawing on data from 108 online freelancers, we discuss six findings: 1) female freelance work is undervalued; 2) gendered occupational expectations; 3) gendered treatment; 4) shared expectations of differential values; 5) racial stereotypes and expectations; and 6) race and ethnicity as an asset. We discuss the role of design in the platformization and visibility of social identity dimensions, and the implications of the reinforced identity perceptions and marginalization in digital labor platforms. © 2024 Copyright is held by the owner/author(s).
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