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A Mixed-Methods Analysis of the Algorithm-Mediated Labor of Online Food Deliverers in China

Published: 11 November 2022 Publication History

Abstract

In recent years, China has witnessed the proliferation and success of the online food delivery industry, an emerging type of the gig economy. Online food deliverers who deliver the food from restaurants to customers play a critical role in enabling this industry. Mediated by algorithms and coupled with interactions with multiple stakeholders, this emerging kind of labor has been taken by millions of people. In this paper, we present a mixed-methods analysis to investigate this labor of online food deliverers and uncover how the mediation of algorithms shapes it. Combining large-scale quantitative data-driven investigations of 100,000 deliverers' behavioral data with in-depth qualitative interviews with 15 online food deliverers, we demonstrate their working activities, identify how algorithms mediate their delivery procedures, and reveal how they perceive their relationships with different stakeholders as a result of their algorithm-mediated labor. Our findings provide important implications for enabling better experiences and more humanized labor of deliverers as well as workers in gig economies of similar kinds.

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    cover image Proceedings of the ACM on Human-Computer Interaction
    Proceedings of the ACM on Human-Computer Interaction  Volume 6, Issue CSCW2
    CSCW
    November 2022
    8205 pages
    EISSN:2573-0142
    DOI:10.1145/3571154
    Issue’s Table of Contents
    This work is licensed under a Creative Commons Attribution International 4.0 License.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 11 November 2022
    Published in PACMHCI Volume 6, Issue CSCW2

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    Author Tags

    1. algorithm mediation
    2. algorithmic management
    3. gig economy
    4. labor
    5. on-demand labor

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