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Area of Science:

  • Literary studies
  • Cultural evolution
  • Computational social science

Background:

  • The cultural evolution of literary fiction is understudied.
  • Literary data offers insights into general cultural change.
  • Understanding drivers of change in fiction is key to cultural dynamics.

Purpose of the Study:

  • To investigate whether long-term topic changes in Anglophone fiction are driven by individual author evolution or by cohort turnover.
  • To quantify the relative contributions of author entrances, exits, and individual change to topic evolution.

Main Methods:

  • Utilized a large dataset of over 23,000 Anglophone fiction books.
  • Applied natural language processing tools for topic analysis.
  • Employed decomposition analysis based on the Price equation from evolutionary ecology.

Main Results:

  • Cohort turnover is a more significant driver of topic change in fiction than individual author change.
  • The arrival of new authors (entrances) has a stronger effect on topic trends than author exits.
  • The asymmetry between entrances and exits is linked to the unequal lengths of authors' careers.

Conclusions:

  • Literary topic evolution is predominantly shaped by generational shifts in authorship.
  • The influx of new authors plays a critical role in shaping the thematic landscape of fiction.
  • The study provides a novel quantitative approach to understanding cultural change in literature.