Data Colonialism
Updated 2026-08-05
INTRODUCTION
English translation pending.
CORE DEFINITION
A framework developed by Nick Couldry and Ulises Mejias, arguing that platform capitalism appropriates human experience as raw material through continuous data extraction, much as colonial systems appropriated land and labor. Users are not customers but sources of a resource that is refined into predictive products. The core claim is that extraction of data constitutes a new form of dispossession. The qualification is that the analogy highlights structural similarity and does not claim that the harms are identical to those of territorial colonialism.
SCAFFOLDING EFFECT
Reduce cognitive load
- Use Extraction Mapping: Trace where your behavioral data goes and who converts it into value. - Use Consent Scrutiny: Examine whether agreement is meaningful given the power asymmetry involved. - Use Sovereignty Framing: Treat data rights as a claim about ownership and return rather than only about privacy.
Anchor fast decisions
Continuous collection turns daily activity into a stream of raw material that is processed into prediction products and sold, while the people producing the data receive no share of the resulting value. Because the extraction is embedded in services people depend on, participation is effectively compulsory and consent is nominal. The arrangement reproduces the colonial structure in which a resource is taken from its source and valorized elsewhere.
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
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Source support: Explicit
- en.wikipedia.orghttps://en.wikipedia.org/wiki/Data_colonialismverified
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