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Kristina Gligoric @IC2S2

@gligoric.bsky.social
4.2K followers 1K following 46 posts

Assistant Professor of Computer Science @JohnsHopkins, CS Postdoc @Stanford, PHD @EPFL, Computational Social Science, NLP, AI & Society kristinagligoric.com

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Reposted by Kristina Gligoric @IC2S2
jamesyoungevans.bsky.social @jamesyoungevans.bsky.social · 08/10/2026
Out today in Nature Communications: “Emergence of polarization in networks of large language model agents.” LLMs can broker political divides and reduce conspiracy beliefs. But how do they behave on their own? Like we do.
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Reposted by Kristina Gligoric @IC2S2
Adam Visokay @avisokay.bsky.social · 02/10/2026
Looking forward to the Text as Data conference on Monday at UC Berkeley! I will be presenting our new paper "Multi-Perspective LLM Annotations for Valid Analyses in Subjective Tasks" which is a joint effort with Navya Mehrotra and @gligoric.bsky.social. 🧵
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 02/10/2026
Check out our new paper! arxiv.org/abs/2603.21404
arxiv.org
Multi-Perspective LLM Annotations for Valid Analyses in Subjective Tasks
Large language models are increasingly used to annotate texts, but their outputs reflect some human perspectives better than others. Existing methods for correcting LLM annotation error assume a singl...
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Reposted by Kristina Gligoric @IC2S2
JHU Computer Science @jhucompsci.bsky.social · 09/09/2026
Get to know Assistant Professor @tiziano.bsky.social in our New Faculty Q&A:
cs.jhu.edu
New faculty Q&A: Tiziano Piccardi
Get to know Tiziano Piccardi, who joins Johns Hopkins as an assistant professor of computer science and a member of the Data Science and AI Institute.
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Reposted by Kristina Gligoric @IC2S2
JHU Computer Science @jhucompsci.bsky.social · 28/07/2026
Congratulations to @anjalief.bsky.social, @gligoric.bsky.social, @ghadfield.bsky.social, Chien-Ming Huang, @tiziano.bsky.social, and Tianmin Shu on winning 2026 @jhu.edu Discovery Awards! Learn more about their proposed projects below:
cs.jhu.edu
CS faculty receive 2026 Johns Hopkins Discovery Awards
Winning projects—chosen from 324 proposals—will accelerate the research of 132 individuals from across the university.
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 28/07/2026
Attending #IC2S2!! Will be co-organizing a tutorial on Simulating Human Survey Responses with Large Language Models, today at 1.15PM, and presenting on Friday in the Understanding Large Language Models session, 10.45AM. Looking forward to catching up with old friends and meeting new ones!!
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 23/07/2026
Join us on Tuesday 1.15pm! 🙌🏻
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Reposted by Kristina Gligoric @IC2S2
Georg Ahnert @ahnert.eurosky.social · 22/07/2026
Excited to present a tutorial on simulating survey responses with LLMs at @ic2s2.bsky.social next week! ✨ 👉 central themes: analytic flexibility & hybrid samples with @gligoric.bsky.social, @indiiigo.bsky.social, @maximiliankreutner.bsky.social, @jrupprec.bsky.social, and @mstrohm.bsky.social – 🧵
Cover image for our IC2S2 Tutorial titled "An Introduction to Simulation Human Survey Responses with LLMs: Potentials and Pitfalls", happening on Tuesday, July 28 between 1:15pm and 4:30pm. The image features a few of the choices researchers can take when simulating survey responses with LLMs: questionnaire presentation and prompt perturbations, amongst others.
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 06/07/2026
We include a preregistration template so LLM-based studies can adopt this protocol. Great collaboration with Maria Thomas (JHU) and Nihar Shah (CMU) who are not on Bluesky! Check out the full paper: arxiv.org/abs/2606.27687
arxiv.org
Mitigating LLM-based p-Hacking by Preregistering for the Next LLM
Large language models (LLMs) are increasingly used to generate, classify, and annotate data whose outputs feed downstream hypothesis tests. However, LLM-based research is easy to p-hack: a researcher ...
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 06/07/2026
The problem of LLM-enabled p-hacking is compounded by autonomous AI scientists that run research end-to-end. Studies show these systems can p-hack, and they do so even without human direction. As AI scientists become more common, venues should encourage preregistration
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 06/07/2026
Importantly, the protocol retains detection power. When genuine effects are injected, detection matches re-measuring on the same model. The main cost is waiting for the next release, a median of about 10 days in our study
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 06/07/2026
We also followed the protocol ourselves and preregistered our experiment! 85.7% of configurations that hacked the prior model are prevented with the next eligible model
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 06/07/2026
We evaluate this protocol on two tasks where the effect is null by construction, so any significant finding is a p-hack. The study tests across 20 models, 4 providers, and 11 configurations. The protocol blocks p-hack transfer in 73.9% and 72.7% of cases across the two tasks
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 06/07/2026
We propose preregistering the analysis (prompts, decoding & inference parameters) and a set of eligible models, then running the confirmatory experiment on the first eligible LLM released after preregistration. That model does not exist at commitment time, so it cannot be hacked against!
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 06/07/2026
P-hacking is a long-standing problem in science, and LLMs make it worse: as tools for annotation or LLM-as-a-judge, they allow tuning parameters until a desired result appears. We propose a way to mitigate this problem, and conduct a preregistered study of its effectiveness! arxiv.org/abs/2606.27687
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 08/05/2026
Sharing this opportunity from the National Cancer Institute: The NCI Data Jamboree: Enhancing Data Sharing and Utility to Advance Cancer Research is happening November 16–18, 2026, at the NIH Neuroscience Center in Rockville, MD. events.cancer.gov/nci/datajamb...
events.cancer.gov
NCI Data Jamboree (Overview) | Events Registration
OverviewThe National Cancer Institute (NCI) invites you to participate in a data event, titled "NCI Data Jamboree: Enhancing Data Sharing and Utility to Advance Cancer Research," to collaborate in a s...
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 10/01/2026
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
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 19/12/2025
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.
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Reposted by Kristina Gligoric @IC2S2
Michael Bernstein @mbernst.bsky.social · 01/12/2025
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.
screenshot of the title and authors of the Science paper that are linked in the next post
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 05/11/2025
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!
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Reposted by Kristina Gligoric @IC2S2
JHU Computer Science @jhucompsci.bsky.social · 29/10/2025
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:
cs.jhu.edu
Nine new tenure-track faculty join Johns Hopkins Computer Science
Their research spans social computing and human-computer interaction to the theoretical foundations and real-world applications of machine learning models.
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Reposted by Kristina Gligoric @IC2S2
Tim Bernard @timbernard.me · 30/10/2025
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.
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Reposted by Kristina Gligoric @IC2S2
Manoel Horta Ribeiro @manoelhortaribeiro.bsky.social · 25/10/2025
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...
doomscrollingbabel.manoel.xyz
Labeling Data with Language Models: Trick or Treat?
Large language models are now labeling data for us.
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Reposted by Kristina Gligoric @IC2S2
JHU CLSP @jhuclsp.bsky.social · 21/10/2025
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
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Reposted by Kristina Gligoric @IC2S2
Kaitlyn Zhou @kaitlynzhou.bsky.social · 21/10/2025
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
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.
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Reposted by Kristina Gligoric @IC2S2
International Conference on Computational Social Science @ic2s2.bsky.social · 20/07/2025
Tutorial Day kicks off tomorrow! Which sessions are you going to attend? 📚 Check the lineup and share your picks. #ic2s2 #tutorials
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 21/07/2025
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...
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 02/06/2025
Thank you, Patrick!
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 02/06/2025
Thank you, Sarah!!
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 02/06/2025
Thank you!
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 02/06/2025
Thank you, Maria!
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 02/06/2025
Thank you!!! Yaay east coast crew!
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 02/06/2025
Thank you, Dallas!
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 02/06/2025
Thank you!!
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 02/06/2025
Thank you, Navita!
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 02/06/2025
Thank you!!
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 02/06/2025
Thank you, Marianne!!
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 02/06/2025
Yaay!!!
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 02/06/2025
Thank you! <3 <3
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 02/06/2025
Thank you, Adam!
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 02/06/2025
Sooo lucky to be colleagues! :))
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 30/05/2025
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
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 30/05/2025
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!
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 30/05/2025
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!
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 29/04/2025
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! 🤓
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 29/04/2025
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
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 29/04/2025
I'm at #NAACL2025 & would love to chat! On Thu, I'll be presenting our paper on LLM annotations for valid estimates in social science (oral talk @ 4pm, CSS session) 📝 Paper: aclanthology.org/2025.naacl-l... *New* 🧪 tutorial (LLMs + Prolific data collection): github.com/kristinaglig...
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 17/02/2025
Check out the full paper for more details! URL: bit.ly/3ERJbUV w/ @annatthomas.bsky.social, Adam Yee, Andrew Mayne, Maya Mathur & @jurafsky.bsky.social
bit.ly
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 17/02/2025
For a menu design task, equipping LLMs with optimization tools decreases emissions of food choices by 79% in a hypothetical restaurant while maintaining participants’ satisfaction. Simpler baselines (vegetarian only, naive prompting) decrease emissions, too, but they also decrease satisfaction.
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Kristina Gligoric @IC2S2 @gligoric.bsky.social · 17/02/2025
Highlights: Food science experts estimated that collaboration with an LLM reduces time spent on a sustainable protein design task by 45%, compared to 22% for collaboration with another expert human food scientist. LLMs generate accurate, specific, and complementary suggestions.
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