Read While You Wait - Get immediate ebook access, if available*, when you order a print book

Framing Big Data

A Linguistic and Discursive Approach

Authors: Paganoni, Maria Cristina

Free Preview
  • Takes a novel, linguistically-focused look at the 'big data debate', providing a fresh perspective on how we understand and use technology in daily life
  • Discusses the legal and ethical implications of big data, algorithmic decision-making and fairness
  • Employs a corpus-driven Critical Discourse Analysis lens to examine participants, processes and representations in society
see more benefits

Buy this book

eBook $44.99
price for USA in USD
  • ISBN 978-3-030-16788-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $59.99
price for USA in USD
  • ISBN 978-3-030-16787-5
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
Softcover $59.99
price for USA in USD
  • ISBN 978-3-030-16790-5
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
About this book

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.

About the authors

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 (5 chapters)

Table of contents (5 chapters)

Buy this book

eBook $44.99
price for USA in USD
  • ISBN 978-3-030-16788-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $59.99
price for USA in USD
  • ISBN 978-3-030-16787-5
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
Softcover $59.99
price for USA in USD
  • ISBN 978-3-030-16790-5
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Framing Big Data
Book Subtitle
A Linguistic and Discursive Approach
Authors
Copyright
2019
Publisher
Palgrave Pivot
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Switzerland AG
eBook ISBN
978-3-030-16788-2
DOI
10.1007/978-3-030-16788-2
Hardcover ISBN
978-3-030-16787-5
Softcover ISBN
978-3-030-16790-5
Edition Number
1
Number of Pages
XI, 116
Number of Illustrations
1 b/w illustrations
Topics

*immediately available upon purchase as print book shipments may be delayed due to the COVID-19 crisis. ebook access is temporary and does not include ownership of the ebook. Only valid for books with an ebook version. Springer Reference Works and instructor copies are not included.