Trend AnalysisPhilosophy & Ethics
Ethics of Surveillance Capitalism and Data Ownership
Shoshana Zuboff's concept of "surveillance capitalism" has become a central organizing framework for understanding the political economy of digital platforms. But the philosophical implications extend...
By Sean K.S. Shin
This blog summarizes research trends based on published paper abstracts. Specific numbers or findings may contain inaccuracies. For scholarly rigor, always consult the original papers cited in each post.
Why It Matters
Shoshana Zuboff's concept of "surveillance capitalism" has become a central organizing framework for understanding the political economy of digital platforms. But the philosophical implications extend far beyond Zuboff's initial analysis. At its core, surveillance capitalism raises fundamental questions about the nature of property, autonomy, and democratic self-governance in a world where human experience itself has become raw material for extraction and prediction.
Jones (2025) examines how the convergence of urbanization and digital technologies reshapes city governance through data-driven systems controlled by surveillance capitalist entities. Private corporations now possess more detailed knowledge of citizen behavior than governments, creating an unprecedented asymmetry of information and power. The philosophical problem is not merely privacy invasion but the transformation of the relationship between citizens and the institutions that govern their lives.
Jones (2025) argues that the concept of "digital citizenship" that once inspired optimism about technological democratization has been hollowed out by surveillance capitalism. Citizens were promised participation and empowerment; what they received was extraction and manipulation. The philosophical challenge is to imagine alternative models of digital life that preserve the benefits of networked technology without the extraction imperative.
The Debate
The Ontology of Data Ownership
The most fundamental philosophical question is whether personal data can be owned at all. Data about a person is not like a physical object: it can be infinitely copied, it is often generated by interactions between multiple parties, and its value depends on aggregation with other data. Makanadar (2024) examine what happens to the "digital footprints" created by ordinary users, noting that it remains a mystery to most people how their data is collected, aggregated, and monetized. Three philosophical positions compete: data as property (individuals own their data like any other asset), data as commons (collective resource requiring communal governance), and data as extension of personhood (protected by dignity rights, not property rights).
Algorithmic Alienation
Chisita, Durodolu, and Rusero (2025) introduces the concept of "algorithmic alienation" to describe how platform capitalism commodifies human agency itself. Drawing on Marx's theory of alienation, this analysis argues that users of digital platforms are alienated not merely from their labor (as in industrial capitalism) but from their own decision-making processes. Algorithmic systems shape desires, direct attention, and constrain choices in ways that users neither understand nor consent to. The result is a new form of unfreedom that operates through preference manipulation rather than coercion.
Care Ethics as Alternative Framework
Krouglov (2024) proposes care ethics as an alternative to the rights-based and market-based frameworks that dominate digital governance discourse. Rather than asking who owns data or what rights users possess, a care-oriented approach asks what relationships of mutual responsibility should exist between platforms and users. This reframes the problem from one of contractual exchange to one of relational obligation, suggesting that platforms bear responsibilities of care toward the communities they profit from.
Urban Surveillance and Democratic Erosion
Krouglov (2024) provides a spatially grounded analysis showing how surveillance capitalism operates through smart city infrastructure. Sensors, cameras, and data collection systems embedded in urban environments create a comprehensive behavioral archive that is controlled by private entities. This raises profound questions about democratic sovereignty: if the data infrastructure of a city is owned by corporations, what meaningful control do democratic institutions retain over the urban environment?
Data Governance Models: Philosophical Comparison
<
| Model | Ontology of Data | Rights Holder | Governance Mechanism | Philosophical Tradition |
|---|
| Property rights | Data as asset | Individual | Market exchange + consent | Lockean liberalism |
| Data commons | Data as collective resource | Community | Democratic stewardship | Republican political theory |
| Dignity rights | Data as personal extension | Person | Inalienable protections | Kantian deontology |
| Data trusts | Data as fiduciary asset | Beneficiaries | Trustee governance | Fiduciary ethics |
| Surveillance abolition | Data extraction as exploitation | Exploited populations | Platform restructuring | Critical theory / Marxism |
| Care framework | Data as relational | All parties in relationship | Mutual obligation | Care ethics / feminism |
What To Watch
The philosophical and regulatory frontier is the emergence of concrete alternatives to surveillance capitalism. Watch for experiments with data cooperatives and data trusts in the EU, proposals for algorithmic auditing requirements that would make extraction mechanisms transparent, and the development of "fiduciary" frameworks that would impose legal duties of loyalty on platforms toward their users. The deepest philosophical question, whether meaningful human autonomy is compatible with algorithmic mediation of everyday life, remains open and may define the political philosophy of the coming decades.
Why It Matters
Shoshana Zuboff's concept of "surveillance capitalism" has become a central organizing framework for understanding the political economy of digital platforms. But the philosophical implications extend far beyond Zuboff's initial analysis. At its core, surveillance capitalism raises fundamental questions about the nature of property, autonomy, and democratic self-governance in a world where human experience itself has become raw material for extraction and prediction.
Jones (2025) examines how the convergence of urbanization and digital technologies reshapes city governance through data-driven systems controlled by surveillance capitalist entities. Private corporations now possess more detailed knowledge of citizen behavior than governments, creating an unprecedented asymmetry of information and power. The philosophical problem is not merely privacy invasion but the transformation of the relationship between citizens and the institutions that govern their lives.
Jones (2025) argues that the concept of "digital citizenship" that once inspired optimism about technological democratization has been hollowed out by surveillance capitalism. Citizens were promised participation and empowerment; what they received was extraction and manipulation. The philosophical challenge is to imagine alternative models of digital life that preserve the benefits of networked technology without the extraction imperative.
The Debate
The Ontology of Data Ownership
The most fundamental philosophical question is whether personal data can be owned at all. Data about a person is not like a physical object: it can be infinitely copied, it is often generated by interactions between multiple parties, and its value depends on aggregation with other data. Makanadar (2024) examine what happens to the "digital footprints" created by ordinary users, noting that it remains a mystery to most people how their data is collected, aggregated, and monetized. Three philosophical positions compete: data as property (individuals own their data like any other asset), data as commons (collective resource requiring communal governance), and data as extension of personhood (protected by dignity rights, not property rights).
Algorithmic Alienation
Chisita, Durodolu, and Rusero (2025) introduces the concept of "algorithmic alienation" to describe how platform capitalism commodifies human agency itself. Drawing on Marx's theory of alienation, this analysis argues that users of digital platforms are alienated not merely from their labor (as in industrial capitalism) but from their own decision-making processes. Algorithmic systems shape desires, direct attention, and constrain choices in ways that users neither understand nor consent to. The result is a new form of unfreedom that operates through preference manipulation rather than coercion.
Care Ethics as Alternative Framework
Krouglov (2024) proposes care ethics as an alternative to the rights-based and market-based frameworks that dominate digital governance discourse. Rather than asking who owns data or what rights users possess, a care-oriented approach asks what relationships of mutual responsibility should exist between platforms and users. This reframes the problem from one of contractual exchange to one of relational obligation, suggesting that platforms bear responsibilities of care toward the communities they profit from.
Urban Surveillance and Democratic Erosion
Krouglov (2024) provides a spatially grounded analysis showing how surveillance capitalism operates through smart city infrastructure. Sensors, cameras, and data collection systems embedded in urban environments create a comprehensive behavioral archive that is controlled by private entities. This raises profound questions about democratic sovereignty: if the data infrastructure of a city is owned by corporations, what meaningful control do democratic institutions retain over the urban environment?
Data Governance Models: Philosophical Comparison
<
| Model | Ontology of Data | Rights Holder | Governance Mechanism | Philosophical Tradition |
|---|
| Property rights | Data as asset | Individual | Market exchange + consent | Lockean liberalism |
| Data commons | Data as collective resource | Community | Democratic stewardship | Republican political theory |
| Dignity rights | Data as personal extension | Person | Inalienable protections | Kantian deontology |
| Data trusts | Data as fiduciary asset | Beneficiaries | Trustee governance | Fiduciary ethics |
| Surveillance abolition | Data extraction as exploitation | Exploited populations | Platform restructuring | Critical theory / Marxism |
| Care framework | Data as relational | All parties in relationship | Mutual obligation | Care ethics / feminism |
What To Watch
The philosophical and regulatory frontier is the emergence of concrete alternatives to surveillance capitalism. Watch for experiments with data cooperatives and data trusts in the EU, proposals for algorithmic auditing requirements that would make extraction mechanisms transparent, and the development of "fiduciary" frameworks that would impose legal duties of loyalty on platforms toward their users. The deepest philosophical question, whether meaningful human autonomy is compatible with algorithmic mediation of everyday life, remains open and may define the political philosophy of the coming decades.
References (4)
Jones, J. (2025). The Limits of the Digital Citizen in an Age of Surveillance Capitalism: Care as a Source of Online Virtue. Journal of Media Ethics, 40(4), 205-218.
Makanadar, A. (2024). Digital surveillance capitalism and cities: data, democracy and activism. Humanities and Social Sciences Communications, 11(1).
Chisita, C. T., Durodolu, O. O., & Rusero, A. M. (2025). Data capitalism in the milieu of the surveillance economy: What can libraries do?. IFLA Journal, 51(2), 339-349.
Krouglov, A. Y. (2024). Alienation 2.0: the algorithmic commodification of agency in platform capitalism. Journal of Multicultural Discourses, 19(3), 196-212.