Effects of Publicity and Complexity in Reader Polarization

Yuri Bizzoni, Pascale Feldkamp, Kristoffer Nielbo


Abstract
We investigate how Goodreads rating distributions reflect variations in audience reception across literary works. By examining a large-scale dataset of novels, we analyze whether metrics such as the entropy or standard deviation of rating distributions correlate with textual features – including perplexity, nominal ratio, and syntactic complexity. These metrics reveal a disagreement continuum: more complex texts – i.e., more cognitively demanding books, with a more canon-like textual profile – generate polarized reader responses, while mainstream works produce more uniform reactions. We compare evaluation patterns across canonical and non-canonical works, bestsellers, and prize-winners, finding that textual complexity drives rating polarization even when controlling for publicity effects. Our findings demonstrate that linguistically unpredictable texts, particularly those with higher nominal density and dependency distance, generate divergent reader evaluations. This challenges conventional literary success metrics and suggests that the shape of rating distributions offers valuable insights beyond average scores. We hope our approach establishes a productive framework for understanding how literary features influence reception and how disagreement metrics can enhance our understanding of public literary judgment.
Anthology ID:
2025.nlp4dh-1.13
Volume:
Proceedings of the 5th International Conference on Natural Language Processing for Digital Humanities
Month:
May
Year:
2025
Address:
Albuquerque, USA
Editors:
Mika Hämäläinen, Emily Öhman, Yuri Bizzoni, So Miyagawa, Khalid Alnajjar
Venues:
NLP4DH | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
138–150
Language:
URL:
https://preview.aclanthology.org/fix-sig-urls/2025.nlp4dh-1.13/
DOI:
Bibkey:
Cite (ACL):
Yuri Bizzoni, Pascale Feldkamp, and Kristoffer Nielbo. 2025. Effects of Publicity and Complexity in Reader Polarization. In Proceedings of the 5th International Conference on Natural Language Processing for Digital Humanities, pages 138–150, Albuquerque, USA. Association for Computational Linguistics.
Cite (Informal):
Effects of Publicity and Complexity in Reader Polarization (Bizzoni et al., NLP4DH 2025)
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PDF:
https://preview.aclanthology.org/fix-sig-urls/2025.nlp4dh-1.13.pdf