The Datafied Society: Studying Culture through Data
edited by Mirko Tobias Schäfer and Karin van Es
Amsterdam University Press, 2017 Paper: 978-94-6298-717-3 | eISBN: 978-90-485-3101-1 | Cloth: 978-94-6298-136-2 Library of Congress Classification HM851.D38 2017 Dewey Decimal Classification 300
ABOUT THIS BOOK | AUTHOR BIOGRAPHY | TOC
ABOUT THIS BOOK 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.
AUTHOR BIOGRAPHY Mirko Tobias Schäfer is Assistant Professor for New Media & Digital Culture at the University of Utrecht and principal investigator of the Utrecht Data School. He is a postdoctoral fellow at the Centre for Humanities at the University of Utrecht. His book Bastard Culture! How User participation Transforms Cultural Production (2011) has been favorably reviewed by peer-reviewed journals. Karin van Es is assistant lecturer at the University of Utrecht and Senior Project Developer at Utrecht Data School. She is the author of The Future of Live (2016).
TABLE OF CONTENTS
AcknowledgementsForewordIntroduction: New Brave WorldKarin van Es and Mirko Tobias SchäferSection 1: Studying Culture through DataHumanistic Data Research: An Encounter between Epistemic TraditionsEef MassonTowards a 'Humanistic Cinemetrics'?Christian Gosvig OlesenCultural Analytics, Social Computing, and Digital HumanitiesLev ManovichCase Study: On BroadwayDaniel Goddemeyer, Moritz Stefaner, Dominikus Baur, and Lev ManovichFoundations of Digital Methods: Query DesignRichard RogersCase Study: Webs and Streams: Mapping Issue-Networks Using Hyperlinks, Hashtags, and (Potentially) Embedded ContentNatalia Sánchez-QuerubínSection 2: Data Practices in Digital Data AnalysisDigital Methods: From Challenges to BildungBernhard Rieder and Theo RöhleData, Culture, and the Ambivalence of AlgorithmsWilliam UricchioUnknowing Algorithms: On Transparency of Un-operable Black BoxesJohannes Paßmann and Asher BoersmaSocial Data APIs: Origin, Types, IssuesCornelius Puschmann and Julian AusserhoferHow to Tell Stories with Networks: Exploring the Narrative Affordances of Graphs with the IliadTommaso Venturini, Liliana Bounegru, Mathieu Jacomy, and Jonathan GrayTowards a Reflexive Digital Data AnalysisKarin van Es, Nicolás López Coombs and Thomas BoeschotenSection 3: Research EthicsGet Your Hands Dirty: Research Ethics in an Age of Big Data: How Digital Methods and 'Big Data' Practices Challenge Traditional Guidelines for Research IntegrityGerwin van Schie, Irene Westra, and Mirko Tobias SchäferResearch Ethics in Context: Decision-Making in Digital ResearchAnnette Markham and Elizabeth BuchananData and DiscriminationKoen Leurs and Tamara ShepherdSection 4: Key Ideas in Big Data Research: The Myth of Big Data, Data Point Critique, Algorithmic Exceptionalism of Algorithms and the Need for a Dialogue with TechnologyThe Myth of Big DataNick CouldryData-Point CritiqueCarolin GerlitzOpposing the Exceptionalism of the AlgorithmEvgeny MorozovThe Need for a Dialogue with TechnologyMercedes BunzToolsNotes on ContributorsIndex
The Datafied Society: Studying Culture through Data
edited by Mirko Tobias Schäfer and Karin van Es
Amsterdam University Press, 2017 Paper: 978-94-6298-717-3 eISBN: 978-90-485-3101-1 Cloth: 978-94-6298-136-2
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.
AUTHOR BIOGRAPHY Mirko Tobias Schäfer is Assistant Professor for New Media & Digital Culture at the University of Utrecht and principal investigator of the Utrecht Data School. He is a postdoctoral fellow at the Centre for Humanities at the University of Utrecht. His book Bastard Culture! How User participation Transforms Cultural Production (2011) has been favorably reviewed by peer-reviewed journals. Karin van Es is assistant lecturer at the University of Utrecht and Senior Project Developer at Utrecht Data School. She is the author of The Future of Live (2016).
TABLE OF CONTENTS
AcknowledgementsForewordIntroduction: New Brave WorldKarin van Es and Mirko Tobias SchäferSection 1: Studying Culture through DataHumanistic Data Research: An Encounter between Epistemic TraditionsEef MassonTowards a 'Humanistic Cinemetrics'?Christian Gosvig OlesenCultural Analytics, Social Computing, and Digital HumanitiesLev ManovichCase Study: On BroadwayDaniel Goddemeyer, Moritz Stefaner, Dominikus Baur, and Lev ManovichFoundations of Digital Methods: Query DesignRichard RogersCase Study: Webs and Streams: Mapping Issue-Networks Using Hyperlinks, Hashtags, and (Potentially) Embedded ContentNatalia Sánchez-QuerubínSection 2: Data Practices in Digital Data AnalysisDigital Methods: From Challenges to BildungBernhard Rieder and Theo RöhleData, Culture, and the Ambivalence of AlgorithmsWilliam UricchioUnknowing Algorithms: On Transparency of Un-operable Black BoxesJohannes Paßmann and Asher BoersmaSocial Data APIs: Origin, Types, IssuesCornelius Puschmann and Julian AusserhoferHow to Tell Stories with Networks: Exploring the Narrative Affordances of Graphs with the IliadTommaso Venturini, Liliana Bounegru, Mathieu Jacomy, and Jonathan GrayTowards a Reflexive Digital Data AnalysisKarin van Es, Nicolás López Coombs and Thomas BoeschotenSection 3: Research EthicsGet Your Hands Dirty: Research Ethics in an Age of Big Data: How Digital Methods and 'Big Data' Practices Challenge Traditional Guidelines for Research IntegrityGerwin van Schie, Irene Westra, and Mirko Tobias SchäferResearch Ethics in Context: Decision-Making in Digital ResearchAnnette Markham and Elizabeth BuchananData and DiscriminationKoen Leurs and Tamara ShepherdSection 4: Key Ideas in Big Data Research: The Myth of Big Data, Data Point Critique, Algorithmic Exceptionalism of Algorithms and the Need for a Dialogue with TechnologyThe Myth of Big DataNick CouldryData-Point CritiqueCarolin GerlitzOpposing the Exceptionalism of the AlgorithmEvgeny MorozovThe Need for a Dialogue with TechnologyMercedes BunzToolsNotes on ContributorsIndex