Algorithmic Labor and Information Asymmetries: A Case Study of Uber’s Drivers

Alex Rosenblat, Luke Stark


Uber manages a large, disaggregated workforce through its ridehail platform, one that delivers a relatively standardized experience to passengers while simultaneously promoting its drivers as entrepreneurs whose work is characterized by freedom, flexibility, and independence. Through a nine-month empirical study of Uber driver experiences, we found that Uber does leverage significant indirect control over how drivers do their jobs. Our conclusions are twofold: First, the information and power asymmetries produced by the Uber application are fundamental to its ability to structure control over its workers; second, the rhetorical invocations of digital technology and algorithms are used to structure asymmetric corporate relationships to labor, which favor the former. Our study of the Uber driver experience points to the need for greater attention to the role of platform disintermediation in shaping power relations and communications between employers and workers.


on-demand economy, Uber, design, platform, ridesharing, ridehailing, algorithm, data, labor, management, rating, surge pricing, entrepreneurship, independent contractor, sharing economy

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