Projects » Tracking Transparency
I work on research focused on understanding what people think about the inferences used for web personalization and ad targeting, and exploring how we can provide more transparency to users about tracking and personalization as part of the UChicago SUPERgroup.
I’m co-lead author on our CHI 2018 paper that used two user studies understand how the specifics of interest-based inferences used for web personalization reveal a tension between a desire to see relevant content and discomfort with some of the inferences being made and used. Our work has been presented at CHI 2018, FTC PrivacyCon 2018, and SOUPS 2017.
I’m also working on the next phase of this project—building a user-installed tool to provide users with detailed information about online tracking over the long term, with a focus on potential inferences that trackers could make.