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oapen-20.500.12657-637052023-06-30T02:37:24Z The Riddle of Literary Quality van Dalen-Oskam, Karina Computational Literary Studies, Literary fiction, Bestsellers, Bias, Readability bic Book Industry Communication::C Language::CB Language: reference & general::CBV Creative writing & creative writing guides bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNT Media, information & communication industries::KNTP Publishing industry & book trade bic Book Industry Communication::D Literature & literary studies::DS Literature: history & criticism What is literature? Can we measure ‘literariness’ in texts themselves? The innovative Computational Humanities project The Riddle of Literary Quality asked thousands of Dutch readers for their opinion about contemporary Dutch and translated novels. The public shared which novels they had read, what they really thought of them, and how they judged their quality. Their judgments of the same novels were compared with the results of computational analysis of the books. Using evidence from almost 14,000 readers and building on more textual data than ever before, Van Dalen-Oskam and her team uncovered unconscious biases that shed new light on prejudices many people assumed no longer existed. This monograph explains in an accessible way how the project unfolded, which methods were used, and how the results may change the future of Literary Studies. 2023-06-29T10:15:00Z 2023-06-29T10:15:00Z 2023 book 9789048558148 https://library.oapen.org/handle/20.500.12657/63705 eng application/pdf Attribution-NonCommercial-NoDerivatives 4.0 International 9789048558155.pdf Amsterdam University Press 10.5117/9789048558148 10.5117/9789048558148 dd3d1a33-0ac2-4cfe-a101-355ae1bd857a 9789048558148 232 Amsterdam open access
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What is literature? Can we measure ‘literariness’ in texts themselves? The innovative Computational Humanities project The Riddle of Literary Quality asked thousands of Dutch readers for their opinion about contemporary Dutch and translated novels. The public shared which novels they had read, what they really thought of them, and how they judged their quality. Their judgments of the same novels were compared with the results of computational analysis of the books.
Using evidence from almost 14,000 readers and building on more textual data than ever before, Van Dalen-Oskam and her team uncovered unconscious biases that shed new light on prejudices many people assumed no longer existed. This monograph explains in an accessible way how the project unfolded, which methods were used, and how the results may change the future of Literary Studies.
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