This repository contains data, code, and analytical procedures for the following paper: Lee, H., Seo, S., Park, S., Tam, L., Kim, S., & Jang, Y. (2026). Theory-driven LLM-assisted analysis in crisis communication: A case study of the self-oriented model of digital publics. Public Relations Review, 52(3), 102709.
- Dr. Hyelim Lee
- Seongbum Seo
- Somin Park
- Dr. Lisa Tam
- Dr. Soojin Kim
- Dr. Yun Jang
Survey response data and crisis-related tweet datasets. Contains anonymized worker responses, filtered tweet collections, and language detection results.
Zero-shot classification experiments using LLMs to evaluate I-, You-, and We-involvement in crisis communication without training examples.
Few-shot classification experiments (k=1, 4, 8, 16) testing LLM performance with varying numbers of demonstration examples.
Fine-tuning experiments with LoRA adapters for tweet evaluation. Includes training data, model checkpoints, and evaluation scripts.
Survey analysis scripts and outputs, including statistical tests and visualization generation.
Data processing and analysis utilities for deduplication, aggregation methods comparison, and accuracy measurement.
Preliminary survey materials and pilot study data.
All personally identifiable information has been anonymized:
- Worker IDs replaced with ANONYMOUS### format
- Email addresses replaced with email###@anonymous.com format
See requirements.txt for Python dependencies.
@article{lee2026theory,
title = {Theory-driven LLM-assisted analysis in crisis communication: A case study of the self-oriented model of digital publics},
journal = {Public Relations Review},
volume = {52},
number = {3},
pages = {102709},
year = {2026},
issn = {0363-8111},
doi = {https://doi.org/10.1016/j.pubrev.2026.102709},
url = {https://www.sciencedirect.com/science/article/pii/S0363811126000445},
author = {Hyelim Lee and Seongbum Seo and Somin Park and Lisa Tam and Soojin Kim and Yun Jang},
keywords = {Large Language Models, Human–AI Integration, Public Relations Methods, Crisis Communication, Self-Oriented Model of Digital Publics}
}MIT License - see LICENSE file for details.