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

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...

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.

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

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...

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!

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...

🤖🍲 What can LLMs do for sustainable food? 🤖🍲 We collaborated with domain experts (food scientists and chefs) to define a typology of food design and prediction tasks. LLMs can assist in food and menu development, saving food scientists' time and reducing emissions! URL: bit.ly/3ERJbUV

Our new piece in Nature Machine Intelligence: LLMs are replacing human participants, but can they simulate diverse respondents? Surveys use representative sampling for a reason, and our work shows how LLM training prevents accurate simulation of different human identities.

Research in @science.org showing structures in whale song thought to be uniquely human! Why? We think cultural learning! Led by @inbalarnon.bsky.social with @simonkirby.bsky.social @ellengarland.bsky.social @clairenea.bsky.social @emma-carroll.bsky.social and me! www.science.org/doi/10.1126/...

Severance is back. Inject that show straight into my veins

Whoa! When a large language of life model generates a protein equivalent to ~500 million years of evolution. @science.org science.org/doi/10.1126/...

Look who I saw on my morning walk. Western Blue Bird, San Francisco

1/🚨 New paper alert! 🚨 In what is likely the most fun study of my PhD, I am excited to share new work with @natematias.bsky.social about what makes news headlines most effective at grabbing reader attention. Let’s dive in to the science behind clickbait 🧵👇

This was such an interesting exploratory study — in particular, what struck me was the racial divide in neighbourhoods that have more information-seeking behavior vs more advertising posts.

I am about three quarters of the way through this excellent podcast series by @paulmmcooper.bsky.social which looks "at the collapse of a different civilization each episode," and asks" "What did they have in common? Why did they fall? And what did it feel like to watch it happen?" 1/2 ​

the crucial first step in fighting anthropomorphization of DL systems is to find an easier to write and pronounce word than anthropomorphizing.

Natural Language Processing—artificial intelligence that uses human language—has been on a roll lately. You’ve probably noticed! So the Stanford NLP Group has been growing, and diversifying into lots of new topics, including agents, language model programs, and socially aware #NLP. nlp.stanford.edu

Check out our new paper on social determinants of on-campus food choice, now out in @pnasnexus.org! academic.oup.com/pnasnexus/ar...

There's always been something that felt misguided about the overemphasis on p-hacking, reporting requirements, and restricted data use--though I couldn’t quite put a finger on it. This slide captures it!

Curious to hear how the LLM feedback played for @iclr-conf.bsky.social reviewers and authors. Did you find it helpful? Did it change anything meaningful? Or do you have a sense it's just "lipstick on a pig" in the sense of more verbose, but still crappy review?

New paper: Do social media algorithms shape affective polarization? We ran a field experiment on X/Twitter (N=1,256) using LLMs to rerank content in real-time, adjusting exposure to polarizing posts. Result: Algorithmic ranking impacts feelings toward the political outgroup! 🧵⬇️

Ben Affleck has a better intuition about what “AI” currently does and what it will reasonably be able to do than many academics I speak with. www.youtube.com/watch?v=ypUR...

Just came across this starter pack and literally spit my coffee 😂

🚨 If you haven’t seen it yet… 📢 The NIH BioArt Source provides a library of FREE professionally designed illustrations and icons, available for anyone to use. They can be Downloaded in High Definition. Check it out at bioart.niaid.nih.gov

Here's @rahulbot.bsky.social with a thoughtful post about how to do content audits using AI tools: generative-ai-newsroom.com/ai-powered-c... -- lots of helpful info there on how to think about and then measure your news coverage and whether it meets your expectations and goals.

I'm sharing materials from my academic job search last year! Includes research, teaching, and diversity statements, plus my UMD cover letter and job talk slides. I applied for a mix of iSchool, data sci, CS, and linguistics positions). Feel free to share! juliamendelsohn.github.io/resources/

Now that "scale is all we need" has predictably faltered... 1. Small AI models often perform better in context. 2. Obsession w bigness has bad consequences, from climate, to power concentration, to research capture. Me + @gaelvaroquaux.bsky.social @sashamtl.bsky.social arxiv.org/abs/2409.14160

I teach a class on data science here at Illinois and during the seminar I host a competition for the class called "The Hunt for the Worst Data Visualization." This was my most popular post on Xitter, so reproducing some of the best submissions from previous years here:

it's official — 1,000,000 people have joined Bluesky in just the last day!!! welcome and thank you for being here 🥳

Lots of folks listen to podcasts—an estimated half of Americans do monthly!—but there's been limited data to study what happens on them. What do they talk about? Who are the guests? Who is influencing whom?? This new dataset is our attempt to bring light to an important medium

Academic job market post! 👀 I’m a CS Postdoc at Stanford in the Stanford HCI group. I develop ways to improve the online information ecosystem by designing better social media feeds & improving Wikipedia. I work on AI, Social Computing, and HCI. piccardi.me 🧵

We are hosting the 11th International Conference on Computational Social Science in Sweden 🚀The IC2S2'25 website is LIVE, and submissions are OPEN! 📍Norrköping | July 21-24, 2025 Call for Abstracts (until Feb 24) Call for Tutorials (until Jan 17) 🔗Explore details & submit: ic2s2-2025.org