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We advance gender-inclusive research within the CSCW field by investigating the long-term gendered experiences of online freelancers on digital labor platforms. The prevalence of gender-based inequalities has attracted significant attention within the CSCW community. Yet, insights remain limited on how these inequalities shape workers' long-term experiences on digital labor platforms. Through a five-year longitudinal study of 105 freelancers on Upwork, we reveal persistent gender disparities that influence workers' long-term work and career trajectories, raising concerns about the sustainability of platform-mediated work. We advance the ongoing dialogue on gender inclusivity in the community by introducing the concepts of career disempowerment and platform-mediated motherhood penalty and by offering research and design implications for CSCW to foster more sustainable, equitable platform work environments for all genders.
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This content will become publicly available on October 31, 2026
Data Tactics in Worker Advocacy Research
This paper draws on Michel de Certeau’s notion of "tactics" to explore the use of data in labor organizing research in CSCW [? ]. Taking a historical view, we first analyze a set of cases from 20th century US labor history that offer three distinct lenses on the risks of data-based advocacy campaigns: wagers, compromises, and concessions. Across our cases, we frame reformers’ use of data tactics as a rhetorical move, taken to advance incremental worker gains under conditions of precarity [90, 105, 154]. However, by continuing to rely on certain data-based arguments in the short term, we argue that labor reformers may have limited the frame of debate for broader arguments necessary to improve conditions in the long-term. These tensions follow us into data-based advocacy research in the present, such as the emerging "digital workerism" movement [70]. To ensure the continuation of responsible advocacy research in CSCW, we offer insights from social justice movements to suggest how members of the HCI and CSCW communities can work more intentionally alongside (or without) data methods to support worker-led direct action.
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- Award ID(s):
- 2128954
- PAR ID:
- 10618225
- Editor(s):
- Lewkowicz, M; Schmidt, K
- Publisher / Repository:
- https://link.springer.com/journal/10606
- Date Published:
- Journal Name:
- Computer supported cooperative work CSCW
- ISSN:
- 1573-7551
- Subject(s) / Keyword(s):
- Human-centered computing HCI theory, concepts and models
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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