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 – 🧵
Jens Rupprecht
@jrupprec.bsky.social
PhD student @ Chair for Data Science in the Economic and Social Sciences (University of Mannheim) Website: https://jrupprec.github.io/
🚨 Content alert 🚨 New recording and workshop materials published! ➡️ Large Language Models for Social Research: Potentials and Challenges 👤 @indiiigo.bsky.social (University of Mannheim) 📺 youtu.be/p5wPJHK-74M 🗒️ github.com/SocialScienc...
Large Language Models for Social Research: Potentials and Challenges
YouTube video by MZES Methods Bites
youtu.be
👋 #ACL2025NLP 🇦🇹 @marlutz.bsky.social and I are presenting our poster on demographic representativeness of LLMs today! 🕦 10:30-12:00 📍 Hall X5 (board 1 or 14 according to different sources 🧐) Here’s the paper on ACL anthology: aclanthology.org/2025.finding... Drop by!
Missing the Margins: A Systematic Literature Review on the Demographic Representativeness of LLMs
Indira Sen, Marlene Lutz, Elisa Rogers, David Garcia, Markus Strohmaier. Findings of the Association for Computational Linguistics: ACL 2025. 2025.
aclanthology.org
Do LLMs represent the people they're supposed simulate or provide personalized assistance to? We review the current literature in our #ACL2025 Findings paper and investigating what researchers conclude about the demographic representativeness of LLMs: osf.io/preprints/so... 1/
Chair for Data Science in the Economic and Social Sciences at University of Mannheim having lots of fun at #ic2s2 @janajung.bsky.social @wanlo.bsky.social @indiiigo.bsky.social @jrupprec.bsky.social @maximiliankreutner.bsky.social and Stefano Balietti
Really excited to also present this work at #IC2S2 next week in Norrköping! 🎉 I'd love to discuss how to produce LLM survey responses at my poster on Wed at 13:30 (Poster Session 2, Poster ID 68) 📊
LLMs are trained to produce open-ended responses 📝, but most survey items require closed-ended responses instead 📊 This Wed 11:00–12:30 at #ESRA25, I'll discuss the large impact that Answer Production Methods have on prediction results + share recommendations for methods and parameters. 👈
LLMs are trained to produce open-ended responses 📝, but most survey items require closed-ended responses instead 📊 This Wed 11:00–12:30 at #ESRA25, I'll discuss the large impact that Answer Production Methods have on prediction results + share recommendations for methods and parameters. 👈
Very excited to head to #IC2S2 next week! 🎉 In our project, we tested whether a psychological assessment can measure sexism in LLMs, and found that applying such tools to LLMs is not as straightforward as it seems. Find me and my poster at Poster Session 1 (Tue 12:30-14:30) — hope to see you there
LLMs can generate synthetic survey responses, e.g. for imputation, but how reliable are they? 📋 At #IC2S2, I'll be sharing our research on the robustness of AI-generated responses to perturbations and if they mirror human survey biases. 🤖 Come by my poster on Tuesday between 1:30 and 3:30 p.m.