Novels with Certain Structure More Likely to Endure as Classics
A recent study suggests that the structure of novels may play a significant role in determining their enduring popularity. Researchers analyzed 300 English-language novels published between 1909 and 1923, finding that those with specific structural characteristics were more likely to remain popular over time.
According to the study, conducted by Leyao Wang at York University in Toronto, Canada, and her colleagues, half of the analyzed novels made it to the top 10 bestseller list within a year of publication. However, these same novels did not feature prominently on Goodreads' user read lists, which provide data on past, current, and future reads based on a novel's year of publication.
"We found that certain structural features, such as sentence length and complexity, were more common in the top 10 bestsellers," Wang said. "These features may contribute to a novel's ability to captivate readers across generations."
The study's findings have implications for authors, publishers, and readers alike. By understanding what makes a novel enduringly popular, writers can craft stories that resonate with audiences over time.
Background on the study reveals that researchers analyzed novels from 1909 to 1923, a period when literary styles were evolving rapidly. The team used natural language processing (NLP) techniques to identify structural patterns in the texts.
"Literary critics have long debated the role of structure in shaping reader experience," said Dr. Emily Chen, a literary theorist at Harvard University. "This study provides valuable insights into how specific features, such as sentence length and complexity, contribute to a novel's enduring popularity."
The study's results also raise questions about the relationship between popular culture and literary merit. Do readers' preferences for certain structural characteristics influence what becomes considered a classic?
While the study focuses on novels from the early 20th century, its findings have implications for contemporary literature as well. As authors continue to experiment with new styles and structures, they may benefit from understanding what makes a novel enduringly popular.
The research team is now exploring how these structural features evolve over time, potentially shedding light on why some novels remain timeless favorites while others fade into obscurity.
In related news, researchers are also investigating the role of AI in analyzing literary texts. By applying machine learning algorithms to large datasets, scientists can identify patterns and trends that may have gone unnoticed by human readers.
As Wang's study demonstrates, the intersection of literature and technology offers a rich terrain for exploration. By combining insights from NLP and literary theory, researchers can gain a deeper understanding of what makes a novel truly timeless.
Sources:
Leyao Wang et al., "Structural Features of Enduringly Popular Novels" (2023)
Goodreads user data
Publishers Weekly archives
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*Reporting by Newscientist.*