Dataveillance

Dataveillance is the systematic monitoring of data traces rather than persons. Where traditional surveillance requires a human observer to watch a subject, dataveillance operates through the automated collection, aggregation, and analysis of digital footprints — clickstreams, location data, transaction records, search queries, and metadata. The watched individual may never be directly observed; their data is.

The term was coined by Roger Clarke in 1988 to distinguish data-based surveillance from person-based surveillance. In the contemporary platform economy, dataveillance has become the dominant mode of social control. It does not require coercion or explicit prohibition; it operates through the prediction and preemption of behavior. The data subject is not punished for what they have done but shaped by what the algorithm predicts they might do. This is the operational logic of surveillance capitalism: the extraction of behavioral surplus for predictive commodities. See also Surveillance, metadata, and function creep.