Large Language Models for Qualitative Data Analysis

Overview

Recent AI developments have opened new perspectives for qualitative research. While corpus-based discourse or content analysis traditionally treated texts as a "bag of words" and identified linguistic patterns based on frequency distributions, Large Language Models (LLMs) offer a significantly more profound ability to process language, semantics, and context.

This workshop will introduce how LLMs can be integrated into qualitative research by providing insights into their capabilities and limitations, alongside hands-on training in prompt engineering, model implementation, and critical bias evaluation—all demonstrated through practical analysis of earthquake newspaper reporting and their argumentative units.