What best defines surveillance capitalism?

• A. Open-data public sector transparency
• B. Content licensing models for creators
• C. Collecting and monetizing data to predict and influence behavior
• D. Algorithm transparency and user consent

Answer: (C)

Surveillance capitalism is about turning data collected from people’s digital activity into profit by predicting what they will do and then shaping or steering those actions to maximize value. Companies gather vast streams of information from websites, apps, devices, and other services, build models that forecast future behavior, and use those insights to drive targeted advertising, product design, and other monetization strategies. The emphasis is not just on collecting data, but on monetizing the predictions and using them to influence choices, often with limited transparency and consent. This makes behavior itself a commodity—a market for forecasts and the influence those forecasts enable.

To place it in context, this concept contrasts with open-data initiatives that focus on making information public, or with licensing schemes that govern content use. It also differs from concerns about algorithm transparency or user consent, which relate to governance and rights rather than the business logic of data-driven prediction and behavioral influence. The defining feature is the combination of data collection, monetization through predictions, and efforts to steer behavior for profit.