4 papers · 1 filter
Learning the Topic, Not the Language: How LLMs Classify Online Immigration Discourse Across Languages
Andrea Nasuto, Stefano Maria Iacus, Francisco Rowe +1
Large language models (LLMs) offer new opportunities for scalable analysis of online discourse. Yet their use in multilingual social science research remains constrained by model s…
The Human Flourishing Geographic Index: A County-Level Dataset for the United States, 2013--2023
Stefano M. Iacus, Devika Jain, Andrea Nasuto +3
Quantifying human flourishing, a multidimensional construct including happiness, health, purpose, virtue, relationships, and financial stability, is critical for understanding soci…
Deep literature reviews: an application of fine-tuned language models to migration research
Stefano M. Iacus, Haodong Qi, Jiyoung Han
This paper presents a hybrid framework for literature reviews that augments traditional bibliometric methods with large language models (LLMs). By fine-tuning open-source LLMs, our…
Rethinking Scale: The Efficacy of Fine-Tuned Open-Source LLMs in Large-Scale Reproducible Social Science Research
Marcello Carammia, Stefano Maria Iacus, Giuseppe Porro
Large Language Models (LLMs) are distinguished by their architecture, which dictates their parameter size and performance capabilities. Social scientists have increasingly adopted…