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Surveillance capitalism

An economic model using personal data to predict and influence behavior for profit.

Behavioural value reinvestment cycle

Previous cycle of using behavioral data to improve services without generating surplus value.

Behavioural data

Data from individuals' online actions to predict future behavior.

Behavioural surplus

Excess behavioral data collected beyond service improvement needs.

Behavioural futures markets

Markets trading predictive products from behavioral surplus.

Commodity fictions (Polanyi, 1944)

Extending Polanyi's concept to include human experience in surveillance capitalism.

Secrecy

Concealing data collection practices to maintain control.

Privacy

Transformed as corporations appropriate decision rights over personal data.

Decision rights

Corporate control over personal data collection, use, and sharing.

Extraction imperative

Drive to extract behavioral data from all aspects of life.

Extraction architecture

Infrastructure to collect and process vast behavioral data.

Ubiquitous computing (Weiser, 1999)

Integrating technology into the environment for data collection.

Prediction imperative

Core objective to predict and influence behavior through data analysis.

Extension

Expanding surveillance practices into new life areas.

Depth

Increasing detail in collected data for deeper insights.

Economies of action

Strategies driving specific actions based on predictive insights.

Execution architecture

Systems to execute predictive models and influence behavior.

Internet of things

Network of interconnected devices for data exchange.

Instrumentarianism

Governance system using tools to monitor and modify behavior.

Big Other

Surveillance infrastructure controlling individuals through data.

Radical behaviorism

Focus on modifying observable behavior through data insights.

Radical indifference

Prioritizing data extraction over personal rights.

Observation without witness

Covertly collecting data without awareness or consent.

Equivalence without equality

Creating equivalence among individuals through data-driven models.

nudging

Subtly guiding consumer behaviour through personalised suggestions based on data analysis

herding

 Influencing individuals to follow the majority by leveraging data on collective behaviour patterns

conditioning

 Shaping consumer habits and preferences through repeated exposure to targeted advertisements and content

normalisation

Making intrusive data collection and surveillance practices seem routine and acceptable

modulation

Continuously adjusting and personalising user experiences and interactions based on real-time data feedback