Structural Surveillance Capitalism: How Algorithmic Exploitation of Location Data Undermines Digital Sovereignty and Global Data Colonialism
Original framing: “Irish privacy regulator fines Google €403 million over location data processing” — The Hindu
Scientific research on surveillance capitalism, such as *Shoshana Zuboff’s* *The Age of Surveillance Capitalism*, provides empirical evidence that Google’s practices are part of a broader trend where corporations treat human behaviour as a harvestable resource. Studies on *algorithmic bias* and *predictive policing* further demonstrate how location data can reinforce systemic discrimination, particularly against marginalised groups. The DPC’s ruling, while based on GDPR compliance, does not address the *longitudinal effects* of data exploitation—such as how repeated exposure to targeted ads shapes consumer behaviour and cognitive autonomy. To move beyond compliance, scientific inquiry must explore *alternative data models*, such as federated learning or decentralised identity systems, that prioritise user control over corporate extraction.
The €403 million fine against Google is not an isolated incident but a symptom of a deeply entrenched system of surveillance capitalism, where corporate extraction of location data is embedded in the design of digital infrastructure.
This system is rooted in historical patterns of resource exploitation, from colonialism to neoliberalism, and is reinforced by fragmented global governance that allows tech monopolies to operate with impunity. The DPC’s ruling, while significant, fails to address the root causes: the commodification of human behaviour, the lack of global data standards, and the systemic inequalities that marginalised communities face. Indigenous frameworks like *Mātauranga Māori* and cross-cultural perspectives from Africa and Asia reveal that data sovereignty is not just a technical issue but a cultural and political one, tied to land, identity, and collective well-being. To disrupt this system, we must move beyond reactive regulation and instead build *global data sovereignty frameworks*, *decentralised data trusts*, and *algorithmic impact assessments* that centre marginalised voices and cultural ethics. Historical precedents, such as the *British East India Company’s* monopolisation of data, and artistic-spiritual critiques, like those in *Orwell’s* dystopian works, underscore the urgency of this shift. The trickster perspective further exposes the absurdity of treating fines as justice while the system remains intact. The path forward requires collaboration between governments, civil society, and marginalised communities to redefine digital rights as fundamental freedoms, ensuring that data is not a commodity but a shared resource.