The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Data as asset? The measurement, governance, and valuation of digital personal data by Big Tech
Open accessAbstract
Digital personal data is increasingly framed as the basis of contemporary economies, representing an important new asset class. Control over these data assets seems to explain the emergence and dominance of so-called “Big Tech” firms, consisting of Apple, Microsoft, Amazon, Google/Alphabet, and Facebook. These US-based firms are some of the largest in the world by market capitalization, a position that they retain despite growing policy and public condemnation—or “techlash”—of their market power based on their monopolistic control of personal data. We analyse the transformation of personal data into an asset in order to explore how personal data is accounted for, governed, and valued by Big Tech firms and other political-economic actors (e.g., investors). However, our findings show that Big Tech firms turn “users” and “user engagement” into assets through the performative measurement, governance, and valuation of user metrics (e.g., user numbers, user engagement), rather than extending ownership and control rights over personal data per se. We conceptualize this strategy as a form of “techcraft” to center attention on the means and mechanisms that Big Tech firms deploy to make users and user data measurable and legible as future revenue streams.
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Cites
The Black Box Society: The Secret Algorithms That Control Money and Information
Pasquale, F. (2015) · doi:10.4159/harvard.9780674736061 · Cited by 3,796
Value in Informational Capitalism and on the Internet
Arvidsson, A., & Colleoni, E. (2012) · The Information Society · doi:10.1080/01972243.2012.669449 · Cited by 281
A Relational Theory of Data Governance
Viljoen, S. (2020) · doi:10.2139/ssrn.3727562 · Cited by 109
Cited by
Big Tech: Four Emerging Forms of Digital Rentiership
Birch, K., & Cochrane, D. T. (2022) · Science as Culture · doi:10.1080/09505431.2021.1932794 · Cited by 121
Self-citationRegulating Big Tech: the role of enhanced disclosures.
Mazzucato, M., Strauss, I., O’Reilly, T., & Ryan-Collins, J. (2023) · Oxford Review of Economic Policy · doi:10.1093/oxrep/grac040 · Cited by 15
Agha, Z., Park, J., Wan, R., Ali, N. S., Wang, Y., Difranzo, D., Badillo-Urquiola, K., & Wisniewski, P. J. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642313 · Cited by 13
From Research Evaluation to Research Analytics. The digitization of academic performance measurement
Krüger, A. K., & Petersohn, S. (2022) · Valuation Studies · doi:10.3384/vs.2001-5992.2022.9.1.11-46 · Cited by 11
Metadata
- Authors
- Birch, K., Cochrane, D., & Ward, C.
- Venue
- Big Data & Society
- Publisher
- SAGE Publications
- Published
- 2021-01
- Volume
- 8
- Issue
- 1
- ISSN
- 2053-9517 (ISSN-L)
- OpenAlex
- W3163624904
- Cited by
- 325
- References
- 3
- FWCI
- 36.61
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.