About Me
Welcome!
I’m a Postdoctoral Scholar 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. I am fortunate to be supported by Swiss National Science Foundation fellowship.
In my research, I develop computational approaches to address societal issues, understand and improve human well-being, and promote social good. I also study the biases, limitations, and social implications of such approaches.
Keywords: NLP, Computational Social Science, Social Media, Well-being
Articles
2023
Grounding or Guesswork? Large Language Models are Presumptive Grounders,
Omar Shaikh*, Kristina Gligorić*, Ashna Khetan, Matthias Gerstgrasser, Diyi Yang, and Dan Jurafsky.
Preprint, 2023.
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, 3, 157 (2023).
Othering and low prestige framing of immigrant cuisines in US restaurant reviews and large language models,
Yiwei Luo, Kristina Gligorić, and Dan Jurafsky.
Preprint, 2023.
In-class Data Analysis Replications: Teaching Students while Testing Science,
Kristina Gligorić*, Tiziano Piccardi, Jake Hofman, and Robert West.
Preprint, 2023.
Food Choice Mimicry on a Large University Campus,
Kristina Gligorić, Arnaud Chiolero, Emre Kıcıman, Ryen W. White, Eric Horvitz, and Robert West.
Preprint, 2023.
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
Computational Approaches for Studying Dietary Behaviors with Digital Traces,
Kristina Gligorić.
Ph.D. Thesis, EPFL, 2022.
Biased Bytes: On the Validity of Estimating Food Consumption from Digital Traces,
Kristina Gligorić, Irena Djordjević, and Robert West.
ACM Conference on Computer-Supported Cooperative Work and Social Computing CSCW, 2022.
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.
ACM Conference on Computer-Supported Cooperative Work and Social Computing CSCW, 2022.
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.
International AAAI Conference on Web and Social Media ICWSM, 2022.
(* equal contributions)
Talk at ICWSM
Population-scale dietary interests during the COVID-19 pandemic,
Kristina Gligorić, Arnaud Chiolero, Emre Kıcıman, Ryen W White, and Robert West.
Nature Communications, 13, 1073 (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
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.
Laughing Heads: Can Transformers Detect What Makes a Sentence Funny?
Maxime Peyrard, Beatriz Borges, Kristina Gligorić and Robert West.
International Joint Conference on Artificial Intelligence IJCAI, 2021.
🏆 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.
ACM Conference on Computer-Supported Cooperative Work and Social Computing CSCW, 2021.
New Scientist Media Coverage
Talk at MSR JRC, Talk at ic2s2
Sudden Attention Shifts on Wikipedia During the COVID-19 Crisis,
Manoel Horta Ribeiro*, Kristina Gligorić*, Maxime Peyrard*, Florian Lemmerich, Markus Strohmaier and Robert West.
International AAAI Conference on Web and Social Media ICWSM, 2021.
(* equal contributions)
Talk at ICWSM, Talk at Wikimedia Research Showcase
2020
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
Experts and authorities receive disproportionate attention on Twitter during the COVID-19 crisis,
Kristina Gligorić*, Manoel Horta Ribeiro*, Martin Müller*, Olesia Altunina, Maxime Peyrard, Marcel Salathé, Giovanni Colavizza and Robert West. (* equal contributions)
Preprint, 2020.
2019
Causal Effects of Brevity on Style and Success in Social Media,
Kristina Gligorić, Ashton Anderson and Robert West.
ACM Conference on Computer-Supported Cooperative Work and Social Computing CSCW, 2019.
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.
The 2019 Conference on Empirical Methods in Natural Language Processing EMNLP, 2019.
Message Distortion in Information Cascades,
Manoel Ribeiro, Kristina Gligorić and Robert West.
The Web Conference WWW, 2019.
2018
How Constraints Affect Content: The Case of Twitter’s Switch from 140 to 280 Characters,
Kristina Gligorić, Ashton Anderson and Robert West.
International AAAI Conference on Web and Social Media ICWSM, 2018.
telanova Media Coverage
Visible Light Communication Based Indoor Positioning via Compressed Sensing,
Kristina Gligorić, Manisha Ajmani, Dejan Vukobratović and Sinan Sinanović.
IEEE Communication Letters CLET, 2018.
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 service
Stanford SocialNLP reading group (Mon 1 pm at Gates 287)
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
Signal Processing for Communications (COM-303) at EPFL, Spring 2017-2018
Contact
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 gligoric@stanford.edu. Students with underrepresented backgrounds are especially encouraged to apply.
gligoric@stanford.edu
Google Scholar
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