Abstract

https://ssrn.com/abstract=2686227
 


 



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


Alex Rosenblat


Data & Society Research Institute

Luke Stark


New York University (NYU)

July 30, 2016

International Journal Of Communication, 10, 27.

Abstract:     
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.

Number of Pages in PDF File: 27

Keywords: digital labor, on-demand economy, Uber, interaction design, flexible employment, ridesharing, algorithm, data, middle manager, rating, surge pricing, entrepreneurship, algorithm, predictive scheduling, sharing economy, workplace surveillance


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Date posted: November 5, 2015 ; Last revised: November 14, 2016

Suggested Citation

Rosenblat, Alex and Stark, Luke, Algorithmic Labor and Information Asymmetries: A Case Study of Uber’s Drivers (July 30, 2016). International Journal Of Communication, 10, 27. . Available at SSRN: https://ssrn.com/abstract=2686227 or http://dx.doi.org/10.2139/ssrn.2686227

Contact Information

Alex Rosenblat (Contact Author)
Data & Society Research Institute ( email )
36 West 20th Street
New York,, NY
United States
HOME PAGE: http://www.datasociety.net
Luke Stark
New York University (NYU) ( email )
Bobst Library, E-resource Acquisitions
20 Cooper Square 3rd Floor
New York, NY 10003-711
United States
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