Abstract
This report accompanies a collection of 210,266 volumes, predicted to be fiction, that researchers are encouraged to borrow for their own work. We divide the collection into seven subsets with different emphases (for instance, one where books written by men and women are represented equally, and one composed of only the most prominent and widely-held books). Comparing the pictures produced by these different subsets allows us to assess the resilience or fragility of recent
quantitative arguments about literary history. Readers can also simply browse the report as a description of English-language fiction in HathiTrust Digital Library.
quantitative arguments about literary history. Readers can also simply browse the report as a description of English-language fiction in HathiTrust Digital Library.
Original language | English (US) |
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Journal | Journal of Cultural Analytics |
DOIs | |
State | Published - May 2020 |
Fingerprint
Dive into the research topics of 'NovelTM Datasets for English-Language Fiction, 1700-2009'. Together they form a unique fingerprint.Datasets
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NovelTM Metadata for English-Language Fiction, 1700-2009
Underwood, T. (Creator), Kimutis, P. (Creator) & Witte, J. (Creator), Harvard Dataverse, May 28 2020
DOI: 10.7910/DVN/B4D4H3
Dataset