Excited to attend FAccT 2026 in Montreal this week! Let me know if you'll be there and want to catch up :) I'll be presenting a paper with @allisonkoe.bsky.social about ad delivery skew in the context of government advertising, come by and check it out!

Are you a Bluesky user or developer? Princeton's HCI group is conducting an IRB-approved interview study on perspectives about generative AI (genAI) in decentralized social media. Participation includes: • 45–60 min Zoom interview • $30 USD digital gift card Signup: forms.gle/EDmcLnjbamtb...

Good work from @hayoungjung.bsky.social and @manoelhortaribeiro.bsky.social Scientific AI agents are actively being deployed to synthesize clinical conclusions, but their factual accuracy remains remarkably low. #MedSky 🔗 Direct link: arxiv.org/pdf/2606.11337

Hayoung Jung@hayoungjung.bsky.social · 2mo ago

First paper of my PhD with my amazing advisors! There’s been a ton of hype and media coverage on OpenEvidence as an “AI co-pilot for clinicians”… and our long-horizon benchmark puts them to the test!! Our results suggest they are far from reliable for downstream use.

First paper of my PhD with my amazing advisors! There’s been a ton of hype and media coverage on OpenEvidence as an “AI co-pilot for clinicians”… and our long-horizon benchmark puts them to the test!! Our results suggest they are far from reliable for downstream use.

Manoel Horta Ribeiro@manoelhortaribeiro.bsky.social · 2mo ago

New preprint! We introduce a new benchmark, SciConBench, with 9.11k scientific questions derived from Cochrane Systematic Reviews. We find evidence that frontier AI agents **cannot** synthesize scientific conclusions well. A thread 🧵 w/ @hayoungjung.bsky.social & others!

New preprint! We introduce a new benchmark, SciConBench, with 9.11k scientific questions derived from Cochrane Systematic Reviews. We find evidence that frontier AI agents **cannot** synthesize scientific conclusions well. A thread 🧵 w/ @hayoungjung.bsky.social & others!

📝Excited to share our new preprint, “AI Assistance for Discretionary Work: Increasing Feedback Provision in Higher Education”: arxiv.org/abs/2606.03095 A thread 🧵 1/8

🛍️Major AI companies are increasingly embedding sponsored content into chatbot conversations. Across two preregistered experiments (N=2,012), we test how effectively AI can steer consumers toward sponsored products in a realistic shopping scenario. 📝https://arxiv.org/abs/2604.04263

Deepfake pornography isn’t going away just because we are passing laws and taking down a couple of big websites. Our new pre-print, led by @aedcv.bsky.social suggests that the sharing of this material continued to prosper even after platform and policy shocks. arxiv.org/abs/2602.02754

Whoa, excellent study just dropped in Science! "Reranking partisan animosity in algorithmic social media feeds alters affective polarization" www.science.org/doi/10.1126/... Led by @tiziano.bsky.social and @msaveski.bsky.social

Reranking partisan animosity in algorithmic social media feeds alters affective polarization

Today, social media platforms hold the sole power to study the effects of feed-ranking algorithms. We developed a platform-independent method that reranks participants’ feeds in real time and used thi...

science.org

I am at #EMNLP2025🇨🇳 to present our main paper *MythTriage: Scalable Detection of Opioid Use Disorder Myths on a Video-Sharing Platform*! Come by to discuss details! 🏦 Location: Hall C ⏲️Time: 11AM-12:30PM 🔗 Paper: aclanthology.org/2025.emnlp-m... 📁 Repo: github.com/hayoungjungg...

🌱✨ 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!

Hayoung Jung@hayoungjung.bsky.social · 2y ago

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

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