叙事非线性的定量研究
来自: 苏格拉底大王(I am serious with Socrates.)
Andrew Piper, Olivier Toubia (2023) A quantitative study of non-linearity in storytelling. Poetics Volume 98, June 2023, 101793. https://doi.org/10.1016/j.poetic.2023.101793
Abstract
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.
Fig. 4. Schematic representation of the three proposed measures in Toubiaetal.(2021).
To understand the importance of trade-offs with respect to non-linearity, we decompose log(circuitousness) into its two components, log(speed) and log(distance) (recall that log(circuitousness)=log(speed)-log(distance)).
The original matlab code used for calculating the measures and book metadata is available at the following repository: https://doi.org/10.6084/m9.figshare.22211914.
A Python version of the code is available at:
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