Studying how advertising ecosystems, exception lists, and privacy tools interact in practice, with a focus on the real privacy cost of defaults.
This project focuses on the privacy implications of the modern web advertising stack and the tooling people rely on to protect themselves. A recurring theme is that privacy controls are only as strong as their defaults, exception policies, and ecosystem incentives.
The work in this area examines how “acceptable ads” and related exception mechanisms alter the behavior of blocking tools in practice, often in ways that are invisible to ordinary users but meaningful for tracking and measurement.