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How granular should our explanations of fantastic fiction be?

Published online by Cambridge University Press:  18 November 2022

Oleg Sobchuk*
Affiliation:
Minds and Traditions Research Group, Max Planck Institute for the Science of Human History, 07745 Jena, Germany sobchuk@shh.mpg.dehttps://www.shh.mpg.de/person/98794/25522

Abstract

Explaining the reasons behind the success of various kinds of fiction is important, but how granular should our explanations be? I suggest that using a less granular, more general hypothesis would allow avoiding some pitfalls, such as using the concept of “imaginary world,” which eludes precise definitions.

Type
Open Peer Commentary
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press

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References

Berger, J., & Packard, G. (2018). Are atypical things more popular? Psychological Science, 29(7), 11781184.CrossRefGoogle ScholarPubMed
Berlyne, D. E. (1970). Novelty, complexity, and hedonic value. Perception & Psychophysics, 8, 279286.CrossRefGoogle Scholar
Boyd, B. (2009). On the origin of stories: Evolution, cognition, and fiction. Belknap Press.CrossRefGoogle Scholar
Carroll, J. (2011). Reading human nature: Literary Darwinism in theory and practice. State University of New York Press.Google Scholar
Morin, O., Acerbi, A., & Sobchuk, O. (2019). Why people die in novels: Testing the ordeal simulation hypothesis. Palgrave Communications, 5, 62.CrossRefGoogle Scholar
Silvia, P. J. (2006). Exploring the psychology of interest. Oxford University Press.CrossRefGoogle Scholar
Sobchuk, O. (2018). Charting artistic evolution: An essay in theory. University of Tartu Press.Google Scholar
Tran, N. H., Waring, T., Atmaca, S., & Beheim, B. A. (2021). Entropy trade-offs in artistic design: A case study of Tamil kolam. Evolutionary Human Sciences, 3, e23.CrossRefGoogle Scholar
Yucesoy, B., Wang, X., Huang, J., & Barabási, A.-L. (2018). Success in books: A big data approach to bestsellers. EPJ Data Science, 7, 7.CrossRefGoogle Scholar