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Article ID: CBB004679501

Users Gone Astray: Spreadsheet Charts, Junky Graphics, and Statistical Knowledge (2023)

Osiris: A Research Journal Devoted to the History of Science and Its Cultural Influences
Volume: 38
Pages: 185-204
Publication date: 2023
Language: English

DOI: 10.1086/725133

URI: https://www.journals.uchicago.edu/doi/10.1086/725133

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This story, which begins from the widely deplored look of the graphing in Microsoft’s spreadsheet program, Excel, and extends back some seventy-five years, is about code that enables users to create visualizations without enough craft—at least in the eyes of their critics. It investigates two facets of data visualization since World War II: iterative analysis through graphical means and the making of business charts concerning numerical data. These two efforts automate some human skills. Both are seen as aberrant, dangerous, and in bad taste when they become too automatic, as users fail to reflect upon defaults. Both activities challenge the binary division between a “nonalgorithmic” culture of human judgments and a contemporary world subjected to hard, unaccountable logics. Telling a story of everyday cultures deemed to have gone bad, this article offers a history of envisioned users shaped through tools that could amplify virtues—and also vices—in thinking, depicting, and acting.

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Article James Evans; Adrian Johns (2023) Introduction: How and Why to Historicize Algorithmic Cultures. Osiris: A Research Journal Devoted to the History of Science and Its Cultural Influences (pp. 1-15). unapi

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