Poster
in
Workshop: Generative AI and Creativity: A dialogue between machine learning researchers and creative professionals
Narrative Information Theory
Lion Schulz · Miguel Patrício · Daan Odijk
Abstract:
We propose an information-theoretic framework to measure narratives, providing a formalism to understand pivotal moments, cliffhangers, and plot twists. This approach offers creatives and AI researchers tools to analyse and benchmark human- and AI-created stories. We illustrate our method in TV shows, showing its ability to quantify narrative complexity and emotional dynamics across genres. We discuss potential applications in human-in-the-loop generative AI storytelling.
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