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A quantitative study of non-linearity in storytelling

Bibliographic Data

ID4330818
AuthorsAndrew Piper (0000-0002-0973-4209), Olivier Toubia (0000-0001-7493-9641, Columbia University)
Year2023
Volume98
Pages101793
Publication date2023-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePoetics (JOURNAL)
Journal identifiersISSN: 0304-422X • E-ISSN: 1872-7514
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.poetic.2023.101793
OpenAlexW4378471425
LanguageEN
Citations received7
References cited27

In this paper, we present a study of non-linearity in storytelling in a collection of 2,348 books published since 2001 that are divided among 10 different categories. We employ word embeddings to capture the semantic non-linearity of a book, along with three associated measures called speed, volume, and distance. We find that narrative non-linearity is strongly associated with the communication of non-instrumental (imaginary) information, but only very weakly negatively associated with a book's success. When we decompose non-linearity, we observe that reader preferences for books favor greater narrative distance with lower speed, i.e. books that take readers further but do so more parsimoniously are more successful. Our work aims to contribute to a growing body of studies that use computational methods to better understand human narrative behavior

Art · Linearity · Linguistics · Literature · Narrative · Physics · Sociology · Storytelling · The Imaginary · Computer Science · Digital Games and Media · Media Influence and Health · Misinformation and Its Impacts · Philosophy · Psychology

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Unique citing works7
Citations per year2,33
Citation span2023 - 2025 (3)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 7

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