Event overview
A Human-Centered Workflow for Using Large Language Models in Content Analysis
This is a hands-on workshop on using LLMs for content analysis. The session will be a combination of a short lecture and hands-on practical part. Bring your laptops.
Room: RHB 137a
Date: Monday 23 March @ 2pm - 4pm
Facilitator: Ivan Zupic, School of Creative Management
While many researchers use Large Language Models (LLMs) through chat-based access, their real potential lies in leveraging LLMs via application programming interfaces (APIs). This workshop conceptualizes LLMs as universal text processing machines and presents a comprehensive workflow for employing LLMs in three qualitative and quantitative content analysis tasks: (1) annotation (an umbrella term for assigning categories to text), (2) summarization, and (3) information extraction. The workflow is explicitly human-centered. Researchers design, supervise, and validate each stage of the LLM process to ensure rigor and transparency. The approach synthesizes insights from extensive methodological literature across multiple disciplines: political science, sociology, computer science, psychology, and management. We outline validation procedures and best practices to address key limitations of LLMs, such as their black-box nature, prompt sensitivity, and tendency to hallucinate. To facilitate practical implementation, we provide supplementary materials, including a prompt library and Python code in Jupyter Notebook format, accompanied by detailed usage instructions.
Participants will need online connection to access Google Colab, Gemini and Drive. Python code will be provided and will require only modest changes (e.g., changing prompt and input/output file locations). The workshop will use primarily Google Gemini free tier at no cost. Workflow in Open AI GPT model will be demonstrated, but participants will need a credit card to set up their individual Open AI API access for using GPT.
Dates & times
| Date | Time | Add to calendar |
|---|---|---|
| 23 Mar 2026 | 2:00pm - 4:00pm |
Accessibility
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