Description |
1 online resource (323 pages) |
Series |
Routledge Research in Information Technology and Society Ser |
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Routledge Research in Information Technology and Society Ser
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Contents |
Intro; Half Title; Title Page; Copyright; Contents; Notes on contributors; Acknowledgements; 1 The politics of Big Data: principles, policies, practices; Our focus and goal; Big Data -- does it exist, and if so, what is it?; Politics as a perspective on Big Data; The volume in brief; Notes; References; PART I Principles and paradigms: questioning the tenets of Big Data; 2 The haystack fallacy, or why Big Data provides little security; Introduction; Setting chapter parameters; What are data?; What makes data 'big'?; What are Big Data good for, given how they are created, processed, and used? |
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Because petabytes[Causal] models are moot; Theory is irrelevant; Numbers speak for themselves; Correlation is enough; Results show unprecedented accuracy; So what?; In conclusion; Notes; References; 3 Grasping the ethics and politics of algorithms; Introduction; Opening black boxes is not enough; Some things cannot be done right; Discrimination and bias are no accident; Human experts are not necessarily better; The algorithm is just one part of the puzzle; Superhuman artificial intelligence is not the main issue; Conclusion; Notes; References; 4 Big Data -- within the tides of securitisation? |
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IntroductionA new data pragmatism?; Uncertainty, predictability and interpretation; Securitisation and (surveillance) technology; Big Data as a tool of (in)securitisation; Increasing power asymmetries and technology dependencies; Summary and conclusions; Acknowledgement; Notes; References; 5 Surveillance as a critical paradigm for Big Data?; Introduction; Big Data and dataveillance; Epistemic issues in Big Data; Amending the epistemic critique: critical issues of Big Data as surveillance; The decoupling of generation and analysis of data; The explorative character of analysis |
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Data-based analysis as incentive to actThe double relation to the future; Conclusion; Notes; Bibliography; PART II Big Data policies: politics of governance and regulation; 6 Tracing Big Data imaginaries through public policy: the case of the European Commission; Introduction; Interlude: sociotechnical imaginaries; Tracing Big Data imaginaries: the case of the European Commission; Discussion: data governance in times of crisis; Conclusion; Notes; References; 7 The automated public sphere; Introduction; The long shadow of intermediary irresponsibility |
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Towards a robust regime of intermediary responsibilityLabel, monitor, and explain hate-driven search results; Audit logs of the data fed into algorithmic systems; Ban certain content; Permit limited outside annotations to defamatory posts and hire more humans to judge complaints; Limit the predation possible by online intermediaries; Obscure content that is damaging and not of public interest; Concerns and concessions; Conclusion: a return to professionalism; Notes; References; 8 Bringing the state back in: Big Data-based capitalism, disruption, and novel regulatory approaches in Europe |
Notes |
Digital platforms: network effects and oligopolisation |
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Print version record |
Subject |
Privacy, Right of.
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Big data -- Political aspects
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Big data -- Social aspects
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Confidential communications -- Statistical services.
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Big data -- Political aspects
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Big data -- Social aspects
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Confidential communications -- Statistical services
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Privacy, Right of
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Form |
Electronic book
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Author |
Schneider, Ingrid
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Green, Nicola
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ISBN |
9781351866545 |
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1351866540 |
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9781351866552 |
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1351866559 |
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9781351866538 |
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1351866532 |
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9781315231938 |
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131523193X |
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