论文标题
中国算法介导的算法介导的劳动的混合方法分析
A Mixed-Methods Analysis of the Algorithm-Mediated Labor of Online Food Deliverers in China
论文作者
论文摘要
近年来，中国见证了在线食品送货业的扩散和成功，这是新兴的零工经济。从餐馆运送食物的在线食品送货员在启用该行业方面发挥了至关重要的作用。由算法介导并与多个利益相关者的互动介导，这种新兴的劳动已被数百万人带走。在本文中，我们提出了混合方法分析，以调查在线食品的这项劳动，并发现算法的调解如何塑造它。将100,000个送货员的行为数据的大规模定量数据驱动调查与15个在线食品交付者的深入定性访谈相结合，我们证明了他们的工作活动，确定算法如何介导了他们的交付程序，并揭示他们如何将他们与不同利益相关者的关系视为其算法的结果。我们的发现为实现更好的体验和送货员的人性化劳动以及类似类型的演出经济体的工人提供了重要的含义。
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.
