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Worker Data Collectives as a means to Improve Accountability, Combat Surveillance and Reduce Inequalities

2024/09/01 by Jane Hsieh, Angie Zhang, Seyun Kim +8 · 1 voice
Computer Science · Health Professions · Social Sciences · #Cyberloafing and Workplace Behavior #Digital Economy and Work Transformation #Employment and Welfare Studies #cs.HC

paper · pdf · doi:10.1145/3678884.3681829

arxiv published 2024/09/01 · arxiv updated 2024/09/01 · openalex created_date 2024/09/29 · openalex publication_date 2024/11/11 · openalex updated_date 2026/07/29

Abstract

Platform-based laborers face unprecedented challenges and working conditions that result from algorithmic opacity, insufficient data transparency, and unclear policies and regulations. The CSCW and HCI communities increasingly turn to worker data collectives as a means to advance related policy and regulation, hold platforms accountable for data transparency/disclosure, and empower the collective worker voice. However, fundamental questions remain for designing, governing and sustaining such data infrastructures. In this workshop, we leverage frameworks such as data feminism to design sustainable and power-aware data collectives to tackle challenges present in online labor platforms (e.g., ridesharing, freelancing, crowdwork, carework). While data collectives aim to support worker collectives and complement relevant policy initiatives, the goal of this workshop is to encourage their designers to consider topics of governance, privacy, trust, and transparency. In this one-day session, we convene research and advocacy community members to reflect on critical platform work issues, as well as to collaborate on codesigning data collectives that ethically and equitably address these concerns by supporting working collectivism and informing policy development.

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