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 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.

Sommario

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. 

Info autore

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).

Dettagli sul prodotto

• Autori: Maria Cristina Paganoni
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 19.07.2019
• EAN: 9783030167875
• ISBN: 978-3-0-3016787-5
• Pagine: 116
• Dimensioni: 150 mm x 13 mm x 218 mm
• Peso: 294 g
• Illustrazioni: XI, 116 p. 1 illus.
• Categorie: Scienze umane, arte, musica > Scienze linguistiche e letterarie > Linguistica generale e comparata; C, Big Data, Digital Media, Datenbanken, Linguistics, Discourse Analysis, Computerlinguistik und Korpuslinguistik, Social Sciences, IT in Business, Media studies: internet, digital media & society, Business mathematics & systems, Big Data/Analytics, Digital and New Media, Digital/New Media, Corpora (Linguistics), Corpus Linguistics