Framing Big Data: A Linguistic and Discursive Approach

Framing Big Data: A Linguistic and Discursive Approach

by Maria Cristina Paganoni
ISBN-10:
3030167879
ISBN-13:
9783030167875
Pub. Date:
07/05/2019
Publisher:
Springer International Publishing
ISBN-10:
3030167879
ISBN-13:
9783030167875
Pub. Date:
07/05/2019
Publisher:
Springer International Publishing
Framing Big Data: A Linguistic and Discursive Approach

Framing Big Data: A Linguistic and Discursive Approach

by Maria Cristina Paganoni
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Overview

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.


Product Details

ISBN-13: 9783030167875
Publisher: Springer International Publishing
Publication date: 07/05/2019
Edition description: 1st ed. 2019
Pages: 116
Product dimensions: 5.83(w) x 8.27(h) x 0.00(d)

About the Author

Maria Cristina Paganoni is an Associate Professor of English Language and Translation at the University of Milan, Italy. Her research interests include new media, place and city branding, heritage and tourism, investigated with the tools of linguistics, Discourse Analysis and social semiotics. She is the author of City Branding and New Media (Palgrave, 2015).

Table of Contents

Chapter 1: Framing the Debate on Big Data.- Chapter 2: Big Data in the News Media.- Chapter 3: Big Data and Healthcare.- Chapter 4: Legal and Ethical Implications in the Big Data Debate.- Chapter 5: Concluding Remarks.

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