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We advance the concept of deconstructed identity to explain how online workers' identities are being reshaped, diminished and controlled by digital labor platforms. We focus on online freelance workers and contribute to contemporary conceptualizations regarding worker's self-presentation. The empirical basis for our analysis and theorizing build from two rounds of a longitudinal panel study of online freelance workers and their interactions with online labor platforms. Findings illuminate how online freelancer's identity presentation is constrained by the structuring of their profile, the ratings and client feedback, the algorithms used by the digital platform, and platform's terms of use. Data demonstrate that workers' profiles are focused on skills, reflecting the realities of competing for work in under-regulated labor markets. Study participants report the centrality of client and platform ratings of their work, and the need to manage client feedback and ratings as a core part of their online identity presentation. These findings suggest that, far from a subjective and personal story, a freelancer's identity on a digital labor platform is better understood as a standardized depiction of skills, ratings, and metrics controlled by platform algorithms. Coupled with use policies and evolving platform designs, this platform control creates what seems to be a form of indentured servitude. We further note online freelancers both recognize this control and resist their deconstructed identity.
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Platformization of Inequality: Gender and Race in Digital Labor Platforms
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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- PAR ID:
- 10523296
- Publisher / Repository:
- ACM
- Date Published:
- Journal Name:
- Proceedings of the ACM on Human-Computer Interaction
- Volume:
- 8
- Issue:
- CSCW1
- ISSN:
- 2573-0142
- Page Range / eLocation ID:
- 1 to 22
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1145/3637385
