Critical (Big) Data Studies
| Autor: | Wyatt, Sally, Cressman, Darryl |
|---|---|
| Přispěvatelé: | RS: FASoS CGD, RS: FASoS - MACCH, Technology & Society Studies, RS: FASoS MUSTS |
| Rok vydání: | 2022 |
| Zdroj: | Philosophy of Engineering and Technology ISBN: 9783031078767 The Necessity of Critique: Andrew Feenberg & the Philosophy of Technology, 127-142 STARTPAGE=127;ENDPAGE=142;TITLE=The Necessity of Critique |
| DOI: | 10.1007/978-3-031-07877-4_7 |
| Popis: | This chapter critically examines the concept of “big data” and the associated claims of using big data to solve myriad social and scientific problems. Four myths associated with “big data” are discussed. These are: (1) data are given; (2) “big data” is a natural resource; (3) numbers speak for themselves; and (4) everything is already digital. Each of these is critiqued and shown to be wanting. This is done by using examples of big data in different social and scientific application domains, and by drawing on insights from the philosophy of science and technology, science and technology studies (sts), and the emerging field of critical data studies. The conclusion raises a number of questions, the answers to which will enable people to engage critically with big data and to contribute to the development of critical big data studies. The conclusion also reflects on the author’s own use of data to support her arguments.keywordsbig datacritical theorystsandrew feenbergcritical data studiestechnologymythsmetaphorshumanitiesethnography. |
| Databáze: | OpenAIRE |
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