Kooperativer Bibliotheksverbund

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Umfang: 267 Seiten , Illustrationen, Diagramme, Karten

ISBN: 9789462987173 , 9789462981362

Inhalt: As machine-readable data comes to play an increasingly important role in everyday life, researchers find themselves with rich resources for studying society. The novel methods and tools needed to work with such data require not only new knowledge and skills, but also a new way of thinking about best research practices. This book critically reflects on the role and usefulness of big data, challenging overly optimistic expectations about what such information can reveal, introducing practices and methods for its analysis and visualisation, and raising important political and ethical questions regarding its collection, handling, and presentation

Anmerkung: Erscheint auch als Open Access bei De Gruyter

Weitere Ausg.: Erscheint auch als Online-Ausgabe ISBN 978-90-4853-101-1 10.5117/9789462981362

Weitere Ausg.: 10.1515/9789048531011

Sprache: Englisch

Fachgebiete: Soziologie

Schlagwort(e): Soziologie ; Medienwissenschaft ; Digital Humanities ; Big Data ; Aufsatzsammlung ; Aufsatzsammlung

URL: Volltext  (kostenfrei)

URL: Volltext  (kostenfrei)

URL: Inhaltsverzeichnis

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Umfang: 1 Online-Ressource

ISBN: 9789048531011 , 9789462981362

Inhalt: As machine-readable data comes to play an increasingly important role in everyday life, researchers find themselves with rich resources for studying society. The novel methods and tools needed to work with such data require not only new knowledge and skills, but also a new way of thinking about best research practices. This book critically reflects on the role and usefulness of big data, challenging overly optimistic expectations about what such information can reveal, introducing practices and methods for its analysis and visualisation, and raising important political and ethical questions regarding its collection, handling, and presentation

Anmerkung: English

Sprache: Unbestimmte Sprache

Schlagwort(e): Aufsatzsammlung

URL: kostenfrei

URL: Volltext  (lizenzpflichtig)

URL: Volltext  (Open Access)

URL: Open Access

URL: Cover

URL: Cover

URL: Cover

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Umfang: 1 online resource : , 20 color plates, 9 halftones, 2 line art

ISBN: 9789048531011

Inhalt: The ability to gather data that can be crunched by machines is valuable for studying society. The new methods needed to work it require new skills and new ways of thinking about best research practices. This book reflects on the role and usefulness of big data, challenging overly optimistic expectations about what it can reveal, introducing practices and methods for its analysis and visualization, and raising important political and ethical questions regarding its collection, handling, and presentation.

Anmerkung: Frontmatter -- , Table of Contents -- , Acknowledgements / , Foreword / , Introduction / , Section 1. Studying Culture through Data -- , 1. Humanistic Data Research / , 2. Towards a ‘Humanistic Cinemetrics’? / , 3. Cultural Analytics, Social Computing and Digital Humanities / , 4. Case Study / , 5. Foundations of Digital Methods / , 6. Case Study / , Section 2. Data Practices in Digital Data Analysis -- , 7. Digital Methods / , 8. Data, Culture and the Ambivalence of Algorithms / , 9. Unknowing Algorithms / , 10. Social Data APIs / , 11. How to Tell Stories with Networks / , 12. Towards a Reflexive Digital Data Analysis / , Section 3. Research Ethics -- , 13. Get Your Hands Dirty / , 14. Research Ethics in Context / , 15. Datafication & Discrimination / , Section 4. Key Ideas in Big Data Research -- , 16. The Myth of Big Data / , 17. Data Point Critique / , 18. Opposing the Exceptionalism of the Algorithm / , 19. The Need for a Dialogue with Technology / , Tools -- , Notes on Contributors -- , Index , In English.

Sprache: Englisch

DOI: 10.1515/9789048531011

URL: https://doi.org/10.1515/9789048531011

UID:

Umfang: 1 Online-Ressource (1 online resource)

ISBN: 9789462981362 , 9462981361 , 9789048531011 , 9048531012

Inhalt: 11. How to Tell Stories with Networks: Exploring the Narrative Affordances of Graphs with the Iliad / Tommaso Venturini, Liliana Bounegru, Mathieu Jacomy & Jonathan Gray12. Towards a Reflexive Digital Data Analysis / Karin van Es, Nicolás López Coombs & Thomas Boeschoten; Section 3 -- Research Ethics; 13. Get Your Hands Dirty: Emerging Data Practices as Challenge for Research Integrity / Gerwin van Schie, Irene Westra & Mirko Tobias Schäfer; 14. Research Ethics in Context: Decision-Making in Digital Research / Annette Markham & Elizabeth Buchanan.

Inhalt: 15. Datafication & Discrimination / Koen Leurs & Tamara ShepherdSection 4 -- Key Ideas in Big Data Research; 16. The Myth of Big Data / Nick Couldry; 17. Data Point Critique / Carolin Gerlitz; 18. Opposing the Exceptionalism of the Algorithm / Evgeny Morozov; 19. The Need for a Dialogue with Technology / Mercedes Bunz; Tools; Notes on Contributors; Index.

Inhalt: 6. Case Study: Webs and Streams -- Mapping Issue Networks Using Hyperlinks, Hashtags and (Potentially) Embedded Content / Natalia Sánchez-QuerubínSection 2 -- Data Practices in Digital Data Analysis; 7. Digital Methods: From Challenges to Bildung / Bernhard Rieder & Theo Röhle; 8. Data, Culture and the Ambivalence of Algorithms / William Uricchio; 9. Unknowing Algorithms: On Transparency of Unopenable Black Boxes / Johannes Paßmann & Asher Boersma ; 10. Social Data APIs: Origin, Types, Issues / Cornelius Puschmann & Julian Ausserhofer.

Inhalt: As machine-readable data comes to play an increasingly important role in everyday life, researchers find themselves with rich resources for studying society. The novel methods and tools needed to work with such data require not only new knowledge and skills, but also a new way of thinking about best research practices. This book critically reflects on the role and usefulness of big data, challenging overly optimistic expectations about what such information can reveal, introducing practices and methods for its analysis and visualisation, and raising important political and ethical questions regarding its collection, handling, and presentation

Inhalt: Cover; Table of Contents; Acknowledgements; Foreword; Introduction: New Brave World / Karin van Es & Mirko Tobias Schäfer; Section 1 -- Studying Culture through Data; 1. Humanistic Data Research: An Encounter between Epistemic Traditions / Eef Masson; 2. Towards a 'Humanistic Cinemetrics'? / Christian Gosvig Olesen; 3. Cultural Analytics, Social Computing and Digital Humanities / Lev Manovich; 4. Case Study: On Broadway / Daniel Goddemeyer, Moritz Stefaner, Dominikus Baur & Lev Manovich; 5. Foundations of Digital Methods: Query Design / Richard Rogers.

Anmerkung: Includes bibliographical references and index , Title from content provider , Undetermined

Weitere Ausg.: ISBN 9789462981362

Weitere Ausg.: ISBN 9462981361

Weitere Ausg.: Erscheint auch als Druck-Ausgabe Datafied society [Place of publication not identified] : Amsterdam University Press, 2017 ISBN 9789462981362

Weitere Ausg.: ISBN 9462981361

Sprache: Englisch

Schlagwort(e): Electronic book

URL: kostenfrei

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Umfang: 1 online resource (269 pages)

ISBN: 9789048531011 (e-book)

Weitere Ausg.: Print version: Datafied society : studying culture through data. Amsterdam, [Netherlands] : Amsterdam University Press, c2017 ISBN 9789462981362

Sprache: Englisch

Schlagwort(e): Electronic books.

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Umfang: 1 online resource

ISBN: 9789462981362 , 9462981361 , 9789048531011 , 9048531012

Inhalt: As machine-readable data comes to play an increasingly important role in everyday life, researchers find themselves with rich resources for studying society. The novel methods and tools needed to work with such data require not only new knowledge and skills, but also a new way of thinking about best research practices. This book critically reflects on the role and usefulness of big data, challenging overly optimistic expectations about what such information can reveal, introducing practices and methods for its analysis and visualisation, and raising important political and ethical questions regarding its collection, handling, and presentation.

Anmerkung: Title from content provider. , Cover; Table of Contents; Acknowledgements; Foreword; Introduction: New Brave World / Karin van Es & Mirko Tobias Schäfer; Section 1 -- Studying Culture through Data; 1. Humanistic Data Research: An Encounter between Epistemic Traditions / Eef Masson; 2. Towards a 'Humanistic Cinemetrics'? / Christian Gosvig Olesen; 3. Cultural Analytics, Social Computing and Digital Humanities / Lev Manovich; 4. Case Study: On Broadway / Daniel Goddemeyer, Moritz Stefaner, Dominikus Baur & Lev Manovich; 5. Foundations of Digital Methods: Query Design / Richard Rogers. , 6. Case Study: Webs and Streams -- Mapping Issue Networks Using Hyperlinks, Hashtags and (Potentially) Embedded Content / Natalia Sánchez-QuerubínSection 2 -- Data Practices in Digital Data Analysis; 7. Digital Methods: From Challenges to Bildung / Bernhard Rieder & Theo Röhle; 8. Data, Culture and the Ambivalence of Algorithms / William Uricchio; 9. Unknowing Algorithms: On Transparency of Unopenable Black Boxes / Johannes Paßmann & Asher Boersma ; 10. Social Data APIs: Origin, Types, Issues / Cornelius Puschmann & Julian Ausserhofer. , 11. How to Tell Stories with Networks: Exploring the Narrative Affordances of Graphs with the Iliad / Tommaso Venturini, Liliana Bounegru, Mathieu Jacomy & Jonathan Gray12. Towards a Reflexive Digital Data Analysis / Karin van Es, Nicolás López Coombs & Thomas Boeschoten; Section 3 -- Research Ethics; 13. Get Your Hands Dirty: Emerging Data Practices as Challenge for Research Integrity / Gerwin van Schie, Irene Westra & Mirko Tobias Schäfer; 14. Research Ethics in Context: Decision-Making in Digital Research / Annette Markham & Elizabeth Buchanan. , 15. Datafication & Discrimination / Koen Leurs & Tamara ShepherdSection 4 -- Key Ideas in Big Data Research; 16. The Myth of Big Data / Nick Couldry; 17. Data Point Critique / Carolin Gerlitz; 18. Opposing the Exceptionalism of the Algorithm / Evgeny Morozov; 19. The Need for a Dialogue with Technology / Mercedes Bunz; Tools; Notes on Contributors; Index. , Undetermined.

Weitere Ausg.: Print version: Datafied society. [Place of publication not identified] : Amsterdam University Press, 2017 ISBN 9789462981362

Weitere Ausg.: ISBN 9462981361

Sprache: Englisch

Schlagwort(e): Electronic books. ; Electronic books.

DOI: 10.5117/9789462981362

URL: De Gruyter

URL: EBSCOhost

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URL: De Gruyter, Cover

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Umfang: 1 online resource (269 pages)

Ausgabe: 1st ed.

ISBN: 90-485-3101-2

Inhalt: As machine-readable data comes to play an increasingly important role in everyday life, researchers find themselves with rich resources for studying society. The novel methods and tools needed to work with such data require not only new knowledge and skills, but also a new way of thinking about best research practices. This book critically reflects on the role and usefulness of big data, challenging overly optimistic expectations about what such information can reveal, introducing practices and methods for its analysis and visualisation, and raising important political and ethical questions regarding its collection, handling, and presentation.

Anmerkung: 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. , Also available in print form. , In English.

Weitere Ausg.: ISBN 94-6298-717-3

Weitere Ausg.: ISBN 94-6298-136-1

Sprache: Englisch

Schlagwort(e): Electronic books.

DOI: 10.1515/9789048531011

UID:

Umfang: 1 online resource (269 pages)

Ausgabe: 1st ed.

ISBN: 90-485-3101-2

Inhalt: As machine-readable data comes to play an increasingly important role in everyday life, researchers find themselves with rich resources for studying society. The novel methods and tools needed to work with such data require not only new knowledge and skills, but also a new way of thinking about best research practices. This book critically reflects on the role and usefulness of big data, challenging overly optimistic expectations about what such information can reveal, introducing practices and methods for its analysis and visualisation, and raising important political and ethical questions regarding its collection, handling, and presentation.

Anmerkung: 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. , Also available in print form. , In English.

Weitere Ausg.: ISBN 94-6298-717-3

Weitere Ausg.: ISBN 94-6298-136-1

Sprache: Englisch

Schlagwort(e): Electronic books.

DOI: 10.1515/9789048531011

UID:

Umfang: 1 online resource (269 pages)

Ausgabe: 1st ed.

ISBN: 90-485-3101-2

Inhalt: As machine-readable data comes to play an increasingly important role in everyday life, researchers find themselves with rich resources for studying society. The novel methods and tools needed to work with such data require not only new knowledge and skills, but also a new way of thinking about best research practices. This book critically reflects on the role and usefulness of big data, challenging overly optimistic expectations about what such information can reveal, introducing practices and methods for its analysis and visualisation, and raising important political and ethical questions regarding its collection, handling, and presentation.

Anmerkung: 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. , Also available in print form. , In English.

Weitere Ausg.: ISBN 94-6298-717-3

Weitere Ausg.: ISBN 94-6298-136-1

Sprache: Englisch

Schlagwort(e): Electronic books.

DOI: 10.1515/9789048531011