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"Distant reading" as a book category refers to works that study literature, culture, or textual corpora at scale using quantitative, computational, or comparative methods rather than traditional close reading of individual texts. Books in this category present large-scale literary histories, statistical analyses, topic models, network maps, or algorithmic studies that reveal patterns, trends, and structural features across many works—genres, periods, or languages—so readers can see broad cultural shifts, genre evolution, authorship patterns, and readership dynamics. They often blend digital-humanities technique with critical interpretation, and may include methodological guides, case studies, datasets, and visualizations; the intended audience ranges from scholars and students to interested general readers who want a big-picture, data-informed view of literature.

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