Framing Big Data A Linguistic and Discursive Approach
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 cont
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Maria Cristina Paganoni
Framing Big Data
Maria Cristina Paganoni
Framing Big Data A Linguistic and Discursive Approach
Maria Cristina Paganoni Dipartimento di Scienze della Mediazione Linguistica e di Studi Interculturali Università degli Studi di Milano Milan, Italy
ISBN 978-3-030-16787-5 ISBN 978-3-030-16788-2 (eBook) https://doi.org/10.1007/978-3-030-16788-2 © The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Switzerland AG 2019 This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Cover illustration: © Melisa Hasan This Palgrave Pivot imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
To my sons and daughter
Acknowledgements
This work sees the light within the National Research Project (PRIN 2015TJ8ZAS) ‘Knowledge Dissemination across Media in English: Continuity and Change in Discourse Strategies, Ideologies, and Epistemologies’, funded by MIUR (Italian Ministry of Education, University and Research). My warmest thanks go to Ornella Bramani, head of Lubrina Publisher, who edited a shorter, preliminary version of this work, for releasing the rights for this updated and expanded volume. I would also like to thank Professor Emeritus of Internal Medicine Claudio Rugarli, of the San Raffaele Hospital and Scientific Institute in Milan, for his insightful observations regarding machine learning in the future of medicine.
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Contents
1 Big Data in Discourse 1 1.1 Big Data and Technological Discourse 1 1.2 Questioning the Big Data Narrative 5 1.3 Epistemological, Anthropological and Ethical Aspects in the Big Data Debate 5 1.4 Content Description and Methods 9 References 15 2 Big Data in the News Media 21 2.1 The News Media and Knowledge Dissemination of Big Data 21 2.2 Materials and
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