| Description |
1 online resource |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
| Note |
Title from content provider. |
| Contents |
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. |
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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. |
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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. |
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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. |
| Bibliography |
Includes bibliographical references and index. |
| Summary |
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. |
| Language |
Undetermined. |
| Access |
Open Access EbpS |
| Subject |
Digital humanities -- Research.
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Big data -- Moral and ethical aspects.
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Sciences humaines numériques -- Recherche.
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Données volumineuses -- Aspect moral.
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Reference, information and interdisciplinary subjects.
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Research and information: general.
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SOCIAL SCIENCE -- Essays.
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SOCIAL SCIENCE -- Reference.
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Sozialwissenschaften
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Forschung
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Kulturwissenschaften
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Datenanalyse
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| Indexed Term |
social media. |
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data analysis. |
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data journalism. |
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data visualization. |
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internet research. |
| Genre/Form |
Electronic books.
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| Other Form: |
Print version: Datafied society. [Place of publication not identified] : Amsterdam University Press, 2017 9789462981362 9462981361 (OCoLC)967837696 |
| ISBN |
9789462981362 (electronic bk.) |
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9462981361 (electronic bk.) |
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9789048531011 (electronic bk.) |
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9048531012 (electronic bk.) |
| Standard No. |
10.5117/9789462981362 doi |
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AU@ 000060976728 |
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CHNEW 001001688 |
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CHVBK 515210404 |
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GBVCP 1009443461 |
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