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Biblioteca

MARC Lista (tabellare)
The big data agenda : data ethics and critical data studies / / Annika Richterich
The big data agenda : data ethics and critical data studies / / Annika Richterich
Autore Richterich Annika
Pubbl/distr/stampa London : , : University of Westminster Press, , [2018]
Descrizione fisica 1 online resource (iv, 148 pages)
Disciplina 005.7
Collana CDSMS (Critical digital and social media studies)
Soggetto topico Big data - Moral and ethical aspects
Technology - Moral and ethical aspects
Computer science - Moral and ethical aspects
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto CHAPTER 1 Introduction -- CHAPTER 2 Examining (Big) Data Practices and Ethics -- CHAPTER 3 Big Data: Ethical Debates -- CHAPTER 4 Big Data in Biomedical Research -- CHAPTER 5 Big Data-Driven Health Surveillance -- CHAPTER 6 Emerging (Inter-)Dependencies and their Implications.
Altri titoli varianti Big Data Agenda
Record Nr. UNINA-9910476788503321
Richterich Annika  
London : , : University of Westminster Press, , [2018]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The Big Data Agenda : Data Ethics and Critical Data Studies / / Annika Richterich
The Big Data Agenda : Data Ethics and Critical Data Studies / / Annika Richterich
Autore Richterich Annika
Edizione [1st ed.]
Pubbl/distr/stampa London, England : , : University of Westminster Press, , 2018
Descrizione fisica 1 online resource (iv, 148 pages) : PDF, digital file(s)
Disciplina 005.7
Collana CDSMS (Critical digital and social media studies)
Soggetto topico Kritik
Massendaten
Technology - Moral and ethical aspects
Computer science - Moral and ethical aspects
Big data - Moral and ethical aspects
ISBN 9781911534747
1911534742
9781911534730
1911534734
9781911534976
1911534971
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910268953503321
Richterich Annika  
London, England : , : University of Westminster Press, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Big Data Research for Social Sciences and Social Impact / / edited by Kwok Tai Chui, Anna Visvizi, Miltiadis Lytras
Big Data Research for Social Sciences and Social Impact / / edited by Kwok Tai Chui, Anna Visvizi, Miltiadis Lytras
Pubbl/distr/stampa Basel : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2020
Descrizione fisica 1 online resource (403 pages)
Disciplina 005.7
Soggetto topico Big data - Social aspects - United States
Big data - Moral and ethical aspects
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910674032403321
Basel : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data science ethics : concepts, techniques and cautionary tales / / David Martens
Data science ethics : concepts, techniques and cautionary tales / / David Martens
Pubbl/distr/stampa Oxford, United Kingdom : , : Oxford University Press, , [2022]
Descrizione fisica xii, 255 pages : illustrations (some color), color map ; ; 24 cm
Disciplina 005.7
Altri autori (Persone) Mertens
Soggetto topico Big data - Moral and ethical aspects
Data mining - Moral and ethical aspects
Données volumineuses - Aspect moral
Exploration de données (Informatique) - Aspect moral
MATHEMATICS / General
ISBN 0192847260
9780192847263
0192847279
9780192847270
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910803896803321
Oxford, United Kingdom : , : Oxford University Press, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The Datafied Society / edited by Mirko Tobias Schäfer & Karin van Es
The Datafied Society / edited by Mirko Tobias Schäfer & Karin van Es
Autore van Es Karin
Pubbl/distr/stampa Amsterdam University Press, 2017
Descrizione fisica 1 online resource (269 pages)
Disciplina 300
Soggetto topico Big data - Moral and ethical aspects
Digital humanities - Research
Soggetto genere / forma Electronic books.
Soggetto non controllato Internet research, data analysis, data visualization, social media, data journalism, society
ISBN 90-485-3101-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Acknowledgements -- Foreword -- Introduction: brave new world / Karin van Es and Mirko Tobias Schäfer. Section 1 : Studying culture through data : Humanistic data research: an encounter between epistemic traditions / Eef Masson -- Towards a "humanistic cinemetrics?" / Christian Gosvig Olesen -- Cultural analytics, social computing and digital humanities / Lev Manovich -- Case study: on Broadway / Daniel Goddemeyer, Moritz Stefaner, Dominikus Baur and Lev Manovich -- Foundations of digital methods: query design / Richard Rogers -- Case study: webs and streams - mapping issue networks using hyperlinks, hashtags and (potentially) embedded content / Natalia Sánchez-Querubín. Section 2 Data practices in digital data analysis : Digital methods: from challenges to bildung / Bernhard Rieder and Theo Röhle -- Data, culture and the ambivalence of algorithms / William Uricchio -- Unknowing algorithms: on transparency of unopenable black boxes / Johannes Passmann and Asher Boersma -- Social data APIs: origin, types, issues / Cornelius Puschmann and Julian Ausserhofer -- How to tell stories with networks: exploring the narrative affordances of graphs with the Iliad / Tommaso Venturini, Liliana Bounegru, Mathieu Jacomy and Jonathan Gray -- Towards and reflexive digital data analysis / Karin va Es, Nicolás López Coombs and Thomas Boeschoten. Section 3 Research ethics : Get your hands dirty: emerging data practices as challenge for research integrity / Gerwin van Schie, Irene Westra and Mirko Tobias Schäfer -- Research ethics in context: decision-making in digital research / Annette Markham and Elizabeth Buchanan -- Datafication and discrimination / Koen Leurs and Tamara Shepherd. Section 4 Key ideas in big data research : The myth of big data / Nick Couldry -- Data point critique / Carolin Gerlitz -- Opposing the exceptionalism of the algorithm / Evgeny Morozov -- The need for a dialogue with technology / Mercedes Bunz. Tools -- Notes on contributors -- Index.
Record Nr. UNISA-996379044803316
van Es Karin  
Amsterdam University Press, 2017
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
The Datafied Society / edited by Mirko Tobias Schäfer & Karin van Es
The Datafied Society / edited by Mirko Tobias Schäfer & Karin van Es
Autore van Es Karin
Edizione [1st ed.]
Pubbl/distr/stampa Amsterdam University Press, 2017
Descrizione fisica 1 online resource (269 pages)
Disciplina 300
Soggetto topico Big data - Moral and ethical aspects
Digital humanities - Research
Soggetto genere / forma Electronic books.
ISBN 1-04-077846-1
1-003-70576-6
1-04-078362-7
90-485-3101-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Acknowledgements -- Foreword -- Introduction: brave new world / Karin van Es and Mirko Tobias Schäfer. Section 1 : Studying culture through data : Humanistic data research: an encounter between epistemic traditions / Eef Masson -- Towards a "humanistic cinemetrics?" / Christian Gosvig Olesen -- Cultural analytics, social computing and digital humanities / Lev Manovich -- Case study: on Broadway / Daniel Goddemeyer, Moritz Stefaner, Dominikus Baur and Lev Manovich -- Foundations of digital methods: query design / Richard Rogers -- Case study: webs and streams - mapping issue networks using hyperlinks, hashtags and (potentially) embedded content / Natalia Sánchez-Querubín. Section 2 Data practices in digital data analysis : Digital methods: from challenges to bildung / Bernhard Rieder and Theo Röhle -- Data, culture and the ambivalence of algorithms / William Uricchio -- Unknowing algorithms: on transparency of unopenable black boxes / Johannes Passmann and Asher Boersma -- Social data APIs: origin, types, issues / Cornelius Puschmann and Julian Ausserhofer -- How to tell stories with networks: exploring the narrative affordances of graphs with the Iliad / Tommaso Venturini, Liliana Bounegru, Mathieu Jacomy and Jonathan Gray -- Towards and reflexive digital data analysis / Karin va Es, Nicolás López Coombs and Thomas Boeschoten. Section 3 Research ethics : Get your hands dirty: emerging data practices as challenge for research integrity / Gerwin van Schie, Irene Westra and Mirko Tobias Schäfer -- Research ethics in context: decision-making in digital research / Annette Markham and Elizabeth Buchanan -- Datafication and discrimination / Koen Leurs and Tamara Shepherd. Section 4 Key ideas in big data research : The myth of big data / Nick Couldry -- Data point critique / Carolin Gerlitz -- Opposing the exceptionalism of the algorithm / Evgeny Morozov -- The need for a dialogue with technology / Mercedes Bunz. Tools -- Notes on contributors -- Index.
Record Nr. UNINA-9910166053503321
van Es Karin  
Amsterdam University Press, 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Una ética para Big Data : Introducción a la Gestión ética de Datos Masivos / / Rosa Colmenarejo Fernández
Una ética para Big Data : Introducción a la Gestión ética de Datos Masivos / / Rosa Colmenarejo Fernández
Autore Colmenarejo Fernández Rosa
Pubbl/distr/stampa Barcelona : , : Editorial UOC, , [2017]
Descrizione fisica 1 online resource (128 páginas)
Disciplina 005.7
Collana Tecnología
Soggetto topico Big data - Moral and ethical aspects
Big data
ISBN 84-9116-942-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione spa
Record Nr. UNINA-9910795469203321
Colmenarejo Fernández Rosa  
Barcelona : , : Editorial UOC, , [2017]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Una ética para Big Data : Introducción a la Gestión ética de Datos Masivos / / Rosa Colmenarejo Fernández
Una ética para Big Data : Introducción a la Gestión ética de Datos Masivos / / Rosa Colmenarejo Fernández
Autore Colmenarejo Fernández Rosa
Pubbl/distr/stampa Barcelona : , : Editorial UOC, , [2017]
Descrizione fisica 1 online resource (128 páginas)
Disciplina 005.7
Collana Tecnología
Soggetto topico Big data - Moral and ethical aspects
Big data
ISBN 84-9116-942-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione spa
Record Nr. UNINA-9910814162903321
Colmenarejo Fernández Rosa  
Barcelona : , : Editorial UOC, , [2017]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Predatory Data : Eugenics in Big Tech and Our Fight for an Independent Future
Predatory Data : Eugenics in Big Tech and Our Fight for an Independent Future
Autore Chan Anita Say
Edizione [1st ed.]
Pubbl/distr/stampa Berkeley : , : University of California Press, , 2025
Descrizione fisica 1 online resource (263 pages)
Disciplina 005.7
Soggetto topico Technology - Social aspects
Discrimination in science - History
Eugenics - Moral and ethical aspects - History
Quantitative research - Moral and ethical aspects
Big data - Moral and ethical aspects
SOCIAL SCIENCE / Technology Studies
SOCIAL SCIENCE / Discrimination
ISBN 9780520402850
0520402855
Classificazione SOC071000SOC031000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction : predatory data : civic amputations in the global data economy -- Immigrant excisions, "race suicide" and the eugenic information market -- Streamlining's laboratories : monitoring cultures and eugenic design in the future city -- Of merit, metrics and myth : cognitive elites and techno-eugenics in the knowledge economy -- Relational infrastructures : feminist refusals & immigrant data solidarities -- The coalitional lives of data pluralism : inter-generational feminist resistance to data apartheid -- Community data : pluri-temporalities in the aftermath of big data -- Conclusion : data pluralism and a playbook for defending improbable worlds.
Record Nr. UNINA-9910896408503321
Chan Anita Say  
Berkeley : , : University of California Press, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui