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005			20210127151741.0
006			m o d
007			cr||||||||nn|n
008			170106s2017 ne o 00 0 eng d
010			_z 2017391156
020			_a9789048531011
020			_a9048531012
020			_z9789462981362
020			_z9462981361
035			_a(OCoLC)1163843329
040			_aMdBmJHUP _cMdBmJHUP
050	0	4	_aHM851 _b.D38 2017
082	0		_a300
245	0	4	_aThe Datafied Society _cedited by Mirko Tobias Schäfer & Karin van Es.
264		1	_bAmsterdam University Press,
264		3	_bProject MUSE,
300			_a1 online resource (267 pages) : _billustrations (some color) ;
504			_aIncludes bibliographical references and index.
505	0		_aAcknowledgements -- 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.
506	0		_aOpen Access _fUnrestricted online access _2star
520	8		_aAs 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.
588			_aDescription based on print version record.
650		0	_aBig data _xMoral and ethical aspects.
650		0	_aDigital humanities _xResearch.
655		7	_aElectronic books. _2local
700	1		_aVan Es, Karin, _eeditor.
700	1		_aSchäfer, Mirko Tobias, _eeditor.
710	2		_aProject Muse. _edistributor
830		0	_aBook collections on Project MUSE.
856	4	0	_zFull text available: _uhttps://muse.jhu.edu/book/66554/
999			_c26892 _d26892