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'You are you and the app. There's nobody else.': Building Worker-Designed Data Institutions within Platform Hegemony

Stein, JML; Vizgirda, V; Van Kleek, M; Binns, R; Zhao, J; Zhao, R; Goel, N; ... Shadbolt, N; + view all (2023) 'You are you and the app. There's nobody else.': Building Worker-Designed Data Institutions within Platform Hegemony. In: CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. (pp. pp. 1-26). ACM: Hamburg, Germany. Green open access

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Abstract

Information asymmetries create extractive, often harmful relationships between platform workers (e.g., Uber or Deliveroo drivers) and their algorithmic managers. Recent HCI studies have put forward more equitable platform designs but leave open questions about the social and technical infrastructures required to support them without the cooperation of platforms. We conducted a participatory design study in which platform workers deconstructed and re-imagined Uber's schema for driver data. We analyzed the data structures and social institutions participants proposed, focusing on the stakeholders, roles, and strategies for mitigating conflicting interests of privacy, personal agency, and utility. Using critical theory, we reflected on the capability of participatory design to generate bottom-up collective data infrastructures. Based on the plurality of alternative institutions participants produced and their aptitude to navigate data stewardship decisions, we propose user-configurable tools for lightweight data institution building, as an alternative to redesigning existing platforms or delegating control to centralized trusts.

Type: Proceedings paper
Title: 'You are you and the app. There's nobody else.': Building Worker-Designed Data Institutions within Platform Hegemony
Event: CHI '23
Location: Hamburg, GERMANY
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3544548.3581114
Publisher version: https://doi.org/10.1145/3544548.3581114
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Science & Technology, Technology, Computer Science, Information Systems, Computer Science, Theory & Methods, Robotics, Computer Science, Critical/Activism/Ethics, Workplaces, Personal Data/Tracking, Participatory Design, Empirical study that tells us about how people use a system
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10182224
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