Thanks for sharing! Recently I noticed how I sometimes don’t bother to correct typos or weird idiosyncrasies in my own emails and other forms of writing, thinking “well, at least they’ll know I wrote it”. Funny how once good enough quality is cheap and accessible, we signal effort in other ways
Posts by Kristina Gligoric
Johns Hopkins Data Science and AI Institute is hiring Postdoctoral Fellows (Deadline Jan 23rd, 2026)! 💫
Reach out and apply if you're interested in working with me! I'm especially excited to work with postdocs on AI for social sciences/human behavior, social NLP, and LLMs.
screenshot of the title and authors of the Science paper that are linked in the next post
Our new article in @science.org enables social media reranking outside of platforms' walled gardens.
We add an LLM-powered reranking of highly polarizing political content into N=1256 participants' feeds. Downranking cools tensions with the opposite party—but upranking inflames them.
I'm recruiting multiple PhD students for Fall 2026 in Computer Science at @hopkinsengineer.bsky.social 🍂
Apply to work on AI for social sciences/human behavior, social NLP, and LLMs for real-world applied domains you're passionate about!
Learn more at kristinagligoric.com & help spread the word!
The Department of Computer Science is pleased to welcome nine new tenure-track faculty to its ranks this academic year! Featuring @anandbhattad.bsky.social, @uthsav.bsky.social, @gligoric.bsky.social, @murat-kocaoglu.bsky.social, @tiziano.bsky.social, and more:
My latest with @techpolicypress.bsky.social piece on a key theme from the @techimpactpolicy.bsky.social's Trust and Research Conference. Includes @dwillner.bsky.social's keynote and presentations from @gligoric.bsky.social, @thejusticecollab.bsky.social's Matthew Katsaros and more.
The debate over “LLMs as annotators” feels familiar: excitement, backlash, and anxiety about bad science. My take in a new blogpost is that LLMs don’t break measurement; they expose how fragile it already was.
doomscrollingbabel.manoel.xyz/p/labeling-d...
Considering a PhD in NLP/Speech? 🤔
Need guidance with your application materials?
@jhuclsp is offering a student-run application mentoring program for prospective applicants from underrepresented backgrounds.
📝 Learn more & apply: forms.gle/PMWByc6J3vD...
📅 Deadline: Nov 20
A circular flow diagram that compares current and proposed practices for LLM development using data from adopters and non-adopters. Three gray boxes represent current practices: “R&D,” “Chat Models,” and “Adopters’ Needs and Usage Data,” connected in a clockwise loop with black arrows. A blue box labeled “Non-adopters’ Needs and Usage Data” adds a proposed feedback path, shown with blue arrows, linking non-adopter data back to R&D and adopters’ data.
As of June 2025, 66% of Americans have never used ChatGPT.
Our new position paper, Attention to Non-Adopters, explores why this matters: AI research is being shaped around adopters—leaving non-adopters’ needs, and key LLM research opportunities, behind.
arxiv.org/abs/2510.15951
Tutorial Day kicks off tomorrow! Which sessions are you going to attend? 📚 Check the lineup and share your picks. #ic2s2 #tutorials
Excited to co-organize the Bridging Human and LLM Annotations for Social Science tutorial at #ic2s2 tomorrow!
Join us at 1:30pm CEST to learn how to combine Qualtrics+Prolific, MTurk, & LLMs for automated annotation and valid estimates.
Code&materials: github.com/kristinaglig...
Thank you, Patrick!
Thank you, Sarah!!
Thank you!
Thank you, Maria!
Thank you!!! Yaay east coast crew!
Thank you, Dallas!
Thank you!!
Thank you, Navita!
Thank you!!
Thank you, Marianne!!
Yaay!!!
Thank you! <3 <3
Thank you, Adam!
Sooo lucky to be colleagues! :))
I’ll be starting my lab and planning future projects. If you're interested in research at the intersection of NLP/CSS, please reach out! See my website for more details kristinagligoric.com
My amazing husband @tiziano.bsky.social is also joining Johns Hopkins CS as an Assistant Professor, working on social computing&HCI 💙. We’re beyond excited for this next chapter. I'm so grateful to my mentors and collaborators!
I'm excited to announce that I’ll be joining the Computer Science department at Johns Hopkins as an Assistant Professor this Fall! I’ll be working on large language models, computational social science, and AI & society—and will be recruiting PhD students. Apply to work with me!
Recently, I’ve been busy with the job market and exploring how LLMs can understand, simulate, and influence human behavior. If you’re working on anything related, I’d love to connect! 🤓
And, on Fri at 12pm at the AI & Scientific Discovery Workshop, I’ll present our work on how LLMs can support food scientists and chefs in designing more sustainable diets 🍽️🤖
📝 Paper: arxiv.org/pdf/2503.04734