Should We Treat Data as Labor? Moving beyond "Free"

Resource type
Journal Article
Authors/contributors
Title
Should We Treat Data as Labor? Moving beyond "Free"
Abstract
In the digital economy, user data is typically treated as capital created by corporations observing willing individuals. This neglects users' roles in creating data, reducing incentives for users, distributing the gains from the data economy unequally, and stoking fears of automation. Instead, treating data (at least partially) as labor could help resolve these issues and restore a functioning market for user contributions, but may run against the near-term interests of dominant data monopsonists who have benefited from data being treated as "free." Countervailing power, in the form of competition, a data labor movement, and/or thoughtful regulation could help restore balance.
Publication
AEA Papers and Proceedings
Volume
108
Pages
38-42
Date
2018/05
Language
en
ISSN
2574-0768
Short Title
Should We Treat Data as Labor?
Accessed
04/03/2024, 14:28
Library Catalogue
Citation
Arrieta-Ibarra, I., Goff, L., Jiménez-Hernández, D., Lanier, J., & Weyl, E. G. (2018). Should We Treat Data as Labor? Moving beyond “Free.” AEA Papers and Proceedings, 108, 38–42. https://doi.org/10.1257/pandp.20181003