Data & Society > our work > academic journal > Algorithmic Labor and Information Asymmetries: A Case Study of Uber’s Drivers

International Journal of Communication | 07.31.16

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

Alex Rosenblat, Luke Stark

D&S researcher Alex Rosenblat and Luke Stark published a case study of Uber drivers and highlight the information and power asymmetries produced by the Uber application. Abstract is below.

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.

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