May 21, 2018

Web measurement for fairness and transparency

[This is the first in a series of posts giving some examples of security-related research in the Princeton computer science department. We’re actively recruiting top-notch students to enter our Ph.D. program, as well as postdocs and visiting scholars. We don’t have enough bandwidth here on the blog to feature everything we do, so we’ll be highlighting a few examples over the next couple of weeks.]

Everything we do on the web is tracked, profiled, and analyzed. But what do companies do with that information? To what extent do they use it in ways that benefit us, versus discriminatory ways? While many concerns have been raised, not much is known quantitatively. That’s why at Princeton we’re building an infrastructure to detect, measure and reverse engineer differential treatment of web users.

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