Beyond Genre Categories: How Narrative Pattern Coherence and Spanning Distance Shape Film Success

Zhichao Wang, Zeyu Lyu


Abstract
Prior research on cultural markets has relied on genre labels to distinguish products, overlooking the specific content features that differentiate films within the same genre. We address this gap using tropes as building blocks of narrative structure. From a dataset of 30k tropes across 18k films (TVTropes.org), we identify 29 narrative patterns via community detection and characterize each film by two measures: coherence (how concentrated its tropes are within a few patterns) and spanning distance (how far apart the patterns it combines are). Regression analyses show that coherence improves both audience evaluations and attention, while spanning distance increases evaluations but reduces attention. These findings extend category-spanning theory from genre labels to the internal narrative composition of films, demonstrating how stories are constructed and shape audience responses.
Anthology ID:
2026.nlp4dh-1.13
Volume:
Proceedings of the 6th International Conference on Natural Language Processing for the Digital Humanities
Month:
July
Year:
2026
Address:
San Diego, USA
Editors:
Sil Hamilton, Emily Öhman, Rebecca M. M. Hicke, Yuri Bizzoni, Axel Bax, Jacob A. Matthews, Mika Hämäläinen
Venues:
NLP4DH | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
132–137
Language:
URL:
https://preview.aclanthology.org/ingest-acl-workshops/2026.nlp4dh-1.13/
DOI:
Bibkey:
Cite (ACL):
Zhichao Wang and Zeyu Lyu. 2026. Beyond Genre Categories: How Narrative Pattern Coherence and Spanning Distance Shape Film Success. In Proceedings of the 6th International Conference on Natural Language Processing for the Digital Humanities, pages 132–137, San Diego, USA. Association for Computational Linguistics.
Cite (Informal):
Beyond Genre Categories: How Narrative Pattern Coherence and Spanning Distance Shape Film Success (Wang & Lyu, NLP4DH 2026)
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PDF:
https://preview.aclanthology.org/ingest-acl-workshops/2026.nlp4dh-1.13.pdf