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Books > Language & Literature > Language & linguistics > Semantics (meaning) > Discourse analysis

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Framing Big Data - A Linguistic and Discursive Approach (Hardcover, 1st ed. 2019) Loot Price: R1,587
Discovery Miles 15 870
Framing Big Data - A Linguistic and Discursive Approach (Hardcover, 1st ed. 2019): Maria Cristina Paganoni

Framing Big Data - A Linguistic and Discursive Approach (Hardcover, 1st ed. 2019)

Maria Cristina Paganoni

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Loot Price R1,587 Discovery Miles 15 870 | Repayment Terms: R149 pm x 12*

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This book addresses big data as a socio-technical construct with huge potential for innovation in key sectors such as healthcare, government and business. Big data and its increasingly widespread use in such influential spheres can generate ethically controversial decisions, including questions surrounding privacy, consent and accountability. This book attempts to unpack the epistemological implications of the term 'big data', as well as the opportunities and responsibilities which come with it. The author analyses the linguistic texture of the big data narrative in the news media, in healthcare and in EU law on data protection, in order to contribute to its understanding from the critical perspective of language studies. The result is a study which will be of interest to students and scholars working in the digital humanities, corpus linguistics, and discourse studies.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Release date: July 2019
First published: 2019
Authors: Maria Cristina Paganoni
Dimensions: 210 x 148mm (L x W)
Format: Hardcover
Pages: 116
Edition: 1st ed. 2019
ISBN-13: 978-3-03-016787-5
Categories: Books > Reference & Interdisciplinary > Communication studies > Media studies
Books > Language & Literature > Language & linguistics > Semantics (meaning) > Discourse analysis
Books > Business & Economics > Business & management > Business mathematics & systems > General
Books > Computing & IT > Applications of computing > Databases > General
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LSN: 3-03-016787-9
Barcode: 9783030167875

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