Welcome!

I’m a Postdoctoral Scholar in the Computer Science Department at Stanford University, advised by Dan Jurafsky at the Stanford NLP group. Previously, I got my Ph.D. in Computer Science at EPFL, where I was advised by Robert West at the Data Science Lab. In my research, I develop and apply large language models, data science, and causal inference methods to address societal issues.

Keywords: Computational Social Science, Natural Language Processing, AI & Society

Contact: [email protected]
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I am on the academic job market! Feel free to reach out if you’re interested in my research or have relevant openings to share.

Research

Selected Awards

Rising Star in EECS (MIT), 2024
Rising Star in GenAI (UMass), 2024
Rising Star in Data Science (University of Chicago), 2023
EPFL Thesis Distinction (awarded to top 8% EPFL theses), 2023
Swiss National Science Foundation Fellowship, 2022
Best Paper Honorable Mention Award, CSCW 2021
Best Reviewer Award, ICWSM 2021 & 2023
Best Teaching Assistant Award, EPFL IC School 2018

Resume

Full CV

Preprints

1. What Can Large Language Models Do for Sustainable Food?
Anna T. Thomas, Adam Yee, Andrew Mayne, Maya B. Mathur, Dan Jurafsky, and Kristina Gligorić.
AI & Scientific Discovery Workshop at NAACL and Tackling Climate Change with Machine Learning at ICLR, 2025.

Publications

2025

1. Can Unconfident LLM Annotations Be Used for Confident Conclusions?
Kristina Gligorić*, Tijana Zrnic*, Cinoo Lee*, Emmanuel Candès, and Dan Jurafsky.
NAACL, 2025.

2024

2. Food Choice Mimicry on a Large University Campus.
Kristina Gligorić, Arnaud Chiolero, Emre Kıcıman, Ryen W. White, Eric Horvitz, and Robert West.
PNAS Nexus, 2024.

3. People who share encounters with racism are silenced online by humans and machines, but a guideline-reframing intervention holds promise.
Cinoo Lee*, Kristina Gligorić*, Pratyusha Ria Kalluri*, Maggie Harrington*, Esin Durmus, Kiara L. Sanchez, Nay San, Danny Tse, Xuan Zhao, MarYam G. Hamedani, Hazel Markus, Dan Jurafsky, and Jennifer L. Eberhardt.
PNAS, 2024.

4. In-class Data Analysis Replications: Teaching Students while Testing Science,
Kristina Gligorić*, Tiziano Piccardi*, Jake Hofman, and Robert West.
Harvard Data Science Review, 2024.

5. Measuring and Shaping the Nutritional Environment via Food Sales Logs: Case Studies of Campus-Wide Food Choice and a Call to Action,
Kristina Gligorić, Robin Zbinden, Arnaud Chiolero, Emre Kiciman, Ryen W. White, Eric Horvitz, and Robert West.
Frontiers in Nutrition, 2024.

6. NLP Systems That Can’t Tell Use from Mention Censor Counterspeech, but Teaching the Distinction Helps,
Kristina Gligorić, Myra Cheng, Lucia Zheng, Esin Durmus, and Dan Jurafsky.
NAACL, 2024.

7. Grounding Gaps in Language Model Generations,
Omar Shaikh*, Kristina Gligorić*, Ashna Khetan, Matthias Gerstgrasser, Diyi Yang, and Dan Jurafsky.
NAACL, 2024.

8. Othering and low prestige framing of immigrant cuisines in US restaurant reviews and large language models,
Yiwei Luo, Kristina Gligorić, and Dan Jurafsky.
ICWSM, 2024.

9. AnthroScore: A Computational Linguistic Measure of Anthropomorphism,
Myra Cheng, Kristina Gligorić, Tiziano Piccardi, and Dan Jurafsky.
EACL, 2024.
Scientific American Media Coverage, New Scientist Media Coverage
Demo website

2023

10. Revealed versus potential spatial accessibility of healthcare and changing patterns during the COVID-19 pandemic,
Kristina Gligorić*, Chaitanya Kamath*, Daniel Weiss*, Shailesh Bavadekar, Yun Liu, Tomer Shekel, Kevin Schulman*, and Evgeniy Gabrilovich*.
Nature Communications Medicine, 2023.
Blog post

11. Linguistic effects on news headline success: Evidence from thousands of online field experiments (registered report),
Kristina Gligorić, George Lifchits, Robert West, and Ashton Anderson.
PLOS ONE, 2023.

2022

12. Computational Approaches for Studying Dietary Behaviors with Digital Traces,
Kristina Gligorić.
Ph.D. Thesis, EPFL, 2022.

13. Biased Bytes: On the Validity of Estimating Food Consumption from Digital Traces,
Kristina Gligorić, Irena Djordjević, and Robert West.
CSCW, 2022.

14. Anticipated versus Actual Effects of Platform Design Change: A Case Study of Twitter’s Character Limit,
Kristina Gligorić, Justyna Czestochowska, Ashton Anderson, and Robert West.
CSCW, 2022.

15. On the Context-Free Ambiguity of Emoji,
Justyna Czestochowska*, Kristina Gligorić*, Maxime Peyrard, Yann Mentha, Michal Bien, Andrea Grütter, Anita Auer, Aris Xanthos, and Robert West.
ICWSM, 2022.
(* equal contributions)
Talk at ICWSM

16. Population-scale dietary interests during the COVID-19 pandemic,
Kristina Gligorić, Arnaud Chiolero, Emre Kıcıman, Ryen W White, and Robert West.
Nature Communications, 2022.
Featured in Public Health Editors’ Highlights (the editorial)
EPFL coverage, Le temps media coverage, 20minutes, Swiss digital health coverage
Blog post
Talk at AMLD

2021

17. Linguistic effects on news headline success: Evidence from thousands of online field experiments (registered report protocol),
Kristina Gligorić, George Lifchits, Robert West, and Ashton Anderson.
PLOS ONE, 2021.

18. Laughing Heads: Can Transformers Detect What Makes a Sentence Funny?
Maxime Peyrard, Beatriz Borges, Kristina Gligorić, and Robert West.
IJCAI, 2021.

19. 🏆 Best Paper Honorable Mention Award
Formation of Social Ties Influences Food Choice: A Campus-wide Longitudinal Study,
Kristina Gligorić, Ryen W White, Emre Kıcıman, Eric Horvitz, Arnaud Chiolero, and Robert West.
CSCW, 2021.
New Scientist Media Coverage
Talk at MSR JRC, Talk at ic2s2

20. Sudden Attention Shifts on Wikipedia During the COVID-19 Crisis,
Manoel Horta Ribeiro*, Kristina Gligorić*, Maxime Peyrard*, Florian Lemmerich, Markus Strohmaier, and Robert West.
ICWSM, 2021.
(* equal contributions)
Talk at ICWSM, Talk at Wikimedia Research Showcase

2020

21. Global maps of travel time to healthcare facilities,
Daniel Weiss, Andrew Nelson, Camilo Vargas-Ruiz, Kristina Gligorić, Shailesh Bavadekar, Evgeniy Gabrilovich, Amelia Bertozzi-Villa, Jennifer Rozier, Harry Gibson, Tomer Shekel, Chaitanya Kamath, Allison Lieber, Kevin Schulman, Yang Shao, Vesa Qarkaxhija, Anita Nandi, Suzanne Keddie, Susan Rumisha, Punam Amratia, Rohan Arambepola, Elisabeth Chestnutt, Justin Millar, Tasmin Symons, Ewan Cameron, Katerine Battle, Samir Bhatt, and Peter Gething.
Nature Medicine, 2020.
World Economic Forum coverage

2019

22. Causal Effects of Brevity on Style and Success in Social Media,
Kristina Gligorić, Ashton Anderson, and Robert West.
CSCW, 2019.

23. Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts,
Elissa Redmiles, Lisa Maszkiewicz, Emily Hwang, Dhruv Kuchhal, Everest Liu, Miranda Morales, Denis Peskov, Sudha Rao, Rock Stevens, Kristina Gligorić, Sean Kross, Michelle Mazurek, and Hal Daume III.
EMNLP, 2019.

24. Message Distortion in Information Cascades,
Manoel Ribeiro, Kristina Gligorić, and Robert West.
TheWebConf, 2019.

2018

25. How Constraints Affect Content: The Case of Twitter’s Switch from 140 to 280 Characters,
Kristina Gligorić, Ashton Anderson, and Robert West.
ICWSM, 2018.
telanova Media Coverage

26. Visible Light Communication Based Indoor Positioning via Compressed Sensing,
Kristina Gligorić, Manisha Ajmani, Dejan Vukobratović, and Sinan Sinanović.
IEEE Communication Letters, 2018.

Tutorial and Workshop Organization

Bridging Human and LLM Annotations for Statistically Valid Computational Social Science,
Kristina Gligorić, Tijana Zrnic, and Cinoo Lee.
The International Conference for Computational Social Science (IC2S2), 2025.

Internships

Google, Palo Alto CA, US
Research Intern, Summer 2019
Mentors: Shailesh Bavadekar and Evgeniy Gabrilovich

Max Planck Institute for Software Systems, Saarbrucken, Germany
Undergraduate Reseach Intern, Summer 2016
Mentor: Krishna P. Gummadi

Teaching and Mentoring

Stanford SocialNLP reading group, learn more about it here!
Applied Data Analysis (CS-401) at EPFL, Fall 2021-2022 (head TA)
Data Visualization (COM-480) at EPFL, Spring 2020-2021
Applied Data Analysis (CS-401) at EPFL, Fall 2020-2021 (head TA)
Data Visualization (COM-480) at EPFL, Spring 2019-2020
Applied Data Analysis (CS-401) at EPFL, Fall 2019-2020 (head TA)
Analysis II (MATH-106) at EPFL, Spring 2018-2019
Applied Data Analysis (CS-401) at EPFL, Fall 2018-2019

I’m always looking for strong undergraduate and master students with interests in NLP and Computational Social Science. If you’re a Stanford student interested in research and looking for a project, please apply via CLiPS and email me afterwards at [email protected]. Students with underrepresented backgrounds are especially encouraged to apply.

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Contact

Contact: [email protected]
Google Scholar
Twitter