arXiv Open Access 2024

Narrative Information Theory

Lion Schulz Miguel Patrício Daan Odijk

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Abstrak

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 applications in media and in human-in-the-loop generative AI storytelling.

Topik & Kata Kunci

cs.MM cs.IT

Penulis (3)

Lion Schulz

Miguel Patrício

Daan Odijk

Format Sitasi

APA MLA BibTeX

Schulz, L., Patrício, M., Odijk, D. (2024). Narrative Information Theory. https://arxiv.org/abs/2411.12907

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Informasi Jurnal

Tahun Terbit: 2024
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓