Authors:
- 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
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Table of contents (5 chapters)
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Front Matter
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Back Matter
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.
Authors and Affiliations
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Dipartimento di Scienze della Mediazione Linguistica e di Studi Interculturali, Università Degli Studi di Milano, Milano, Italy
Maria Cristina Paganoni
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).
Bibliographic Information
Book Title: Framing Big Data
Book Subtitle: A Linguistic and Discursive Approach
Authors: Maria Cristina Paganoni
DOI: https://doi.org/10.1007/978-3-030-16788-2
Publisher: Palgrave Pivot Cham
eBook Packages: Social Sciences, Social Sciences (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-16787-5Published: 19 July 2019
eBook ISBN: 978-3-030-16788-2Published: 03 July 2019
Edition Number: 1
Number of Pages: XI, 116
Number of Illustrations: 1 b/w illustrations
Topics: Discourse Analysis, Corpus Linguistics, Big Data/Analytics, Digital/New Media