• April 2025: Attending CHI News Futures Workshop in Yokohama, Japan to present “Perceiving Politics on TikTok A User-Centered Approach to Understanding Political Content on TikTok”.
Welcome!
I'm a third 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. My work is supported by an AWS gift for research in Trustworthy AI.
Broadly my interests are in human-computer interaction, applied machine learning and computational social science with a current focus on algorithm auditing. Prior to Penn I worked in industry as a software engineer at Apple and Sisu Data. I studied Computer Science (MS) and Symbolic Systems (BS) at Stanford University.
News
• November 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”.
• August 2024: My paper with Shengchun Huang won First Place Faculty Paper, Political Communication Division at Association for Education in Journalism and Mass Communication (AEJMC)!
• July 2024: I went to IC2S2 at the Univeristy of Pennsylvania to present work on auditing social media news feeds.
Research
Perceiving Politics on TikTok: A User-Centered Approach to Understanding Political Content on TikTok
Jason Greenfield, Stephanie Wang, Danaé Metaxa.
News Futures Workshop at ACM CHI 2025
[PDF]
Stephanie Wang*, Shengchun Huang*, Alvin Zhou, and Danaé Metaxa.
ACM CSCW 2024
[PDF] [Blog post] [Penn coverage]