I am a fifth year Ph.D. student at the University of Washington, where I am advised by Franziska Roesner. My research focuses on ubiquitous online ads, the (over)collection of personal data to train generative AI models, and the growing amount of AI slop on the internet. I combine measurement techniques that bring insight into current practices and norms with qualitative methods that provide more context into how and why these ecosystems affect people. Through my work, I hope to influence policy and promote the implementation of technical solutions to make the internet easier and safer to navigate for everybody.

Curriculum Vitae (Updated March 2023)

Publications

“We’re utterly ill-prepared to deal with something like this”: Teachers’ Perspectives on Student Generation of Synthetic Nonconsensual Explicit Imagery
Miranda Wei, Christina Yeung, Franziska Roesner, Tadayoshi Kohno
Conference on Human Factors in Computing Systems (CHI), Apr 2025, Yokohama, Japan
PDF

Analyzing the (In)Accessibility of Online Advertisements
Christina Yeung, Tadayoshi Kohno, Franziska Roesner
Internet Measurement Conference 2024, Madrid, Spain
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Best paper award

Gender Biases in Tone Analysis: A Case Study of a Commercial Wearable Device
Christina Yeung, Umar Iqbal, Tadayoshi Kohno, Franziska Roesner
Equity and Access in Algorithms, Mechanisms, and Optimization 2023, Boston, MA
PDF

Online Advertising in Ukraine and Russia During the 2022 Russian Invasion
Christina Yeung, Umar Iqbal, Yekaterina Tsipenyuk O’Neil, Tadayoshi Kohno, Franziska Roesner
The Web Conference 2023, Austin TX
PDF
Spotlighted paper

Bad Job: Abusive Work on Alternative Microtask Platforms
Christina Yeung, Daniel Salsburg, Joseph A. Calandrino
Workshop on Technology and Consumer Protection (ConPro), Online, 2021
PDF

Checkout Checkup: Misuse of Payment Data from Web Skimming
Phoebe Rouge, Christina Yeung, Daniel Salsburg, Joseph A. Calandrino
Symposium on Electronic Crime Research (eCrime), Online, 2020
PDF

Secondary Education: Measuring Secondary Uses of 2FA Phone Numbers
Min Hee Kim, Christina Yeung, Daniel Salsburg, Joseph A. Calandrino
Who Are You?! Adventures in Authentication Workshop (WAY), Online, 2020
PDF

Cross-Device Tracking: Measurement and Disclosures
Justin Brookman, Phoebe Rouge, Aaron Alva, Christina Yeung
Proceedings of the Privacy Enhancing Technologies Symposium (PETS), Minneapolis, 2017
PDF