CONLIT
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资源简介：
This dataset includes derived data on a collection of ca. 2,700 books in English published between 2001-2021 and spanning twelve different genres. The data was manually collected to capture popular writing aimed at a range of different readerships across fiction (1,934) and non-fiction (820). Genres include forms of cultural capital (bestsellers, prizewinners, elite book reviews), stylistic affinity (mysteries, science fiction, biography, etc.), and age-level (middle-grade and YA). The dataset allows researchers to explore the effects of audience, genre, and instrumentality (i.e. fictionality) on the stylistic behavior of authors within the recent past across different classes of professionally published writing.
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Piper, Andrew创建时间：
2022-09-20
