Further Thoughts on Measuring Narrational Complexity in Fiction Film

Joseph P. Magliano, Lingfei Luan, Laura Allen

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Cutting (2021) argues that the narrational complexity of fi ction fi lm can be quantifi ed similarly to computational measures of text complexity. Narrational complexity refers to the structure that arises from how a story is told. This article expands upon Cutting’s proposal by taking inspiration from contemporary approaches for measuring text complexity. These approaches reject the notion that complexity can be measured via a limited set of indices as Cutting proposed for narrational complexity. Similarly, we argue that narrational complexity for fi ction fi lms should be multidimension and include indices that are associated with events, characters, and the rules that govern the fi ctional world. We discuss the viability of using computational approaches to analyze video and natural language processing to develop approaches to measuring narrational complexity.

Original languageEnglish (US)
Pages (from-to)39-51
Number of pages13
JournalProjections (New York)
Volume17
Issue number1
DOIs
StatePublished - 2023

Bibliographical note

Publisher Copyright:
© The Author/s

Keywords

  • computational analysis of fi ction fi lms
  • mental models
  • narrational complexity
  • natural language processing
  • text complexity

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