articleDOAJ (DOAJ: Directory of Open Access Journals)Jul 27, 2016GREEN OA

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

Data & Society Research Institute · Dartmouth College · +1 more institution

Indexed indoaj

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…

Citation impact

995
total citations
FWCI
95.18
Percentile
100%
References
25
Citations per year

Authors

2

Topics & keywords

Keywords
  • Leverage (statistics)
  • Workforce
  • Flexibility (engineering)
  • Rhetorical question
  • Work Intensity
  • Disintermediation
  • Labour economics
  • Industrial relations
UN Sustainable Development Goals
  • Decent work and economic growth
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