🌱✨ Life update: I just started my PhD at Princeton University! I will be supervised by @manoelhortaribeiro.bsky.social and affiliated with Princeton CITP. It's only been a month, but the energy feels amazing —very grateful for such a welcoming community. Excited for what’s ahead! 🚀

Social media feeds today are optimized for engagement, often leading to misalignment between users' intentions and technology use. In a new paper, we introduce Bonsai, a tool to create feeds based on stated preferences, rather than predicted engagement. arxiv.org/abs/2509.10776

🚨YouTube is a key source of health info, but it’s also rife with dangerous myths on opioid use disorder (OUD), a leading cause of death in the U.S. To understand the scale of such misinformation, our #EMNLP2025 paper introduces MythTriage, a scalable system to detect OUD myth🧵

🎉 Our work on attribution in summarization is now accepted to #EMNLP2025 main! 🎉 "Unstructured Evidence Attribution for Long Context Query Focused Summarization" w/ @zainmujahid.me , Lu Wang, @iaugenstein.bsky.social , and @davidjurgens.bsky.social

Want $50 to create your own feed with natural language? We’re a group of researchers at Princeton studying how people could more easily build their own feeds. Join our study to try it out and tell us what you think of the experience! 👉 Sign up at forms.gle/MkSGKzxDfBEc... (takes less than 1 min)

On my way to Copenhagen, where I will give an invited talk at a workshop and present this work at ICWSM! Super excited to meet everyone -- please DM me if you would like to chat!

How does YouTube’s search algorithm handle COVID🦠 misinfo in the United States🇺🇸(US) and South Africa🇿🇦(SA)? In our #icwsm '25 paper w/ @prerna6.bsky.social @tanumitra.bsky.social, we found bots in SA received significantly more misinfo in top-10 search results, which accounts for 95% of user traffic