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Culture, Theory, Data: An Introduction

Underwood, Ted ; McGrath, Laura ; So, Richard Jean ; Wellmon, Chad

New literary history, 2023-06, Vol.54 (1), p.519-530 [Periódico revisado por pares]

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Título:
Culture, Theory, Data: An Introduction
Autor: Underwood, Ted ; McGrath, Laura ; So, Richard Jean ; Wellmon, Chad
Assuntos: Culture ; Historical text analysis ; Humanities ; Information theory ; Literary history ; Literary studies ; Machine learning ; Machine translation ; Mathematical models ; Medicine ; Medieval literature ; Social networks
É parte de: New literary history, 2023-06, Vol.54 (1), p.519-530
Descrição: Historical sources play a similar rhetorical role, and Rosenberg shows that the seventeenth century discussed them in a similar way, writing about "historical data" and even "scriptural data. "3 By the late eighteenth century, however, data was specializing to contexts like "medicine, finance, natural history, and geography. Even our recipes and home movies are transmitted digitally. [...]contemporary statistical models are no longer restricted to overtly quantitative problems with a small number of variables.7 Machine learning can create variables as needed to model images, social networks, and unstructured text. Computational models have been used to estimate the number of medieval books missing from our libraries, to trace the changing senses of "freedom" and "justice" in abolitionist newspapers, and to contrast the visual styles of Bewitched and I Dream of Jeannie.9 There is no longer much question that computation can produce cultural knowledge.
Editor: Baltimore: Johns Hopkins University Press
Idioma: Inglês

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