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Platformization of Inequality: Gender and Race in Digital Labor Platforms

Published: 26 April 2024 Publication History

Abstract

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.

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      cover image Proceedings of the ACM on Human-Computer Interaction
      Proceedings of the ACM on Human-Computer Interaction  Volume 8, Issue CSCW1
      CSCW
      April 2024
      6294 pages
      EISSN:2573-0142
      DOI:10.1145/3661497
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      This work is licensed under a Creative Commons Attribution International 4.0 License.

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      Published: 26 April 2024
      Published in PACMHCI Volume 8, Issue CSCW1

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      1. digital labor platforms
      2. gender
      3. identity
      4. online freelancing
      5. race
      6. stereotypes

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