05/2026
I will be joining Stanford RegLab for 10 weeks as a Summer Institute Fellow!
I'm a fourth year PhD student at the University of Pennsylvania in the Computer and Information Science department. I am grateful to be advised by Professor Danaé Metaxa as a member of Penn HCI.
I use experimental and qualitative methods to study how AI is reshaping information ecosystems, particularly in the context of online news. I also conduct AI audits to evaluate fairness and bias and to guide the design of interventions that mitigate potential harms.
Before starting my PhD, I worked as a software engineer in the tech industry, first at Sisu Data, then at Apple. I earned both my MS in Computer Science and my BS in Symbolic Systems from Stanford University. My work has been generously supported by an AWS gift for research in Trustworthy AI.
05/2026
I will be joining Stanford RegLab for 10 weeks as a Summer Institute Fellow!
12/2025
Presenting a poster evaluating GenAI’s impact on users’ search behaviors at the Eval Eval Workshop in San Diego.
06/2025
Attending alt-FAccT in New York.
04/2025
Attending News Futures Workshop at CHI in Yokohama, Japan.
11/2024
I will be attending CSCW in San Jose, Costa Rica to present our work, “Lower Quantity, Higher Quality Auditing News Content and User Perceptions on Twitter/X Algorithmic versus Chronological Timelines”.
08/2024
My paper with Shengchun Huang won First Place Faculty Paper, Political Communication Division at Association for Education in Journalism and Mass Communication (AEJMC)!
07/2024
I presented our work auditing algorithmic news curation on social media feeds at IC2S2 at the University of Pennsylvania.
* indicates equal contribution
Admix: A Design Probe Exploring End-User Agency and Collective Interventions in Targeted Advertising
Stephanie Wang, Princess Sampson, Mialy Rasetarinera, Danaé Metaxa
Work in progress, .
Megha N. Govindu, Stephanie Wang, Sorelle Friedler, Danaé Metaxa
ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2026.
[ PDF ]
Stephanie Wang*, Shengchun Huang*, Alvin Zhou, Danaé Metaxa
ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW), 2024.
[ PDF | Blog post | Penn coverage ]
Head TA, Human-Computer Interaction. Sp 2024.
TA, Probabilistic Graphical Models. Wi 2018, Wi 2019.
TA, Natural Language Understanding. Sp 2018.