Data humanism in the age of generative AI: an experimental approach to narrative visualization
Rremilli, Emanuela (A.A. 2024/2025) Data humanism in the age of generative AI: an experimental approach to narrative visualization. Tesi di Laurea in Data visualization, Luiss Guido Carli, relatore Blerina Sinaimeri, pp. 81. [Master's Degree Thesis]
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Abstract/Index
Literature review. Giorgia Lupi’s data humanism vision. Humanizing data: storytelling, design and visualization. AI and the Future of creative data communication. System implementation and prompt engineering methodology. LangChain & GPT-4o API Inte. Parameter tuning. Prompt engineering techniques. Persona-based prompt logic. Data humanism mode. D3.js visualization rendering. Data preprocessing and JSON summarization. Cross-persona evaluation of the AI Storytelling system. Overview. Global education dataset. WASH dataset. Discussion and implications. Limitations and threats to validity. Comparing human vs AI data visualization storytelling. Visualization Pairs: human-made vs AI-generated designs.
References
Bibliografia: pp. 74-76.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91) |
| Chair: | Data visualization |
| Thesis Supervisor: | Sinaimeri, Blerina |
| Thesis Co-Supervisor: | Finocchi, Irene |
| Academic Year: | 2024/2025 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 13 Feb 2026 13:12 |
| Last Modified: | 13 Feb 2026 13:12 |
| URI: | https://tesi.luiss.it/id/eprint/44815 |
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