As more and more aspects of everyday life are turned into machine-readable data, researchers are provided with rich resources for researching society. The novel methods and innovative tools to work with this data not only require new knowledge and skills, but also raise issues concerning the practices of investigation and publication. This book critically reflects on the role of data in academia and society and challenges overly optimistic expectations considering data practices as means for understanding social reality. It introduces its readers to the practices and methods for data analysis and visualization and raises questions not only about the politics of data tools, but also about the ethics in collecting, sifting through data, and presenting data research.
Table Of Contents
Section 1: Studying Culture through Data
- Eef Masson: Humanistic Data Research: An Encounter between Epistemic Traditions
- Christian Gosvig Olesen: Towards a ‘Humanistic Cinemetrics’?
- Lev Manovich: Cultural Analytics, Social Computing and Digital Humanities
- Daniel Goddemeyer et al.: Case Study: On Broadway
- Richard Rogers: Foundations of Digital Methods: Query Design
- Natalia Sánchez-Querubín: Case Study: Webs and Streams – Mapping Issue Networks Using Hyperlinks, Hashtags and (Potentially) Embedded Content
Section 2: Data Practices in Digital Data Analysis
- Bernhard Rieder & Theo Röhle: Digital Methods: From Challenges to Bildung
- William Uricchio: Data, Culture and the Ambivalence of Algorithms
- Johannes Paßmann & Asher Boersma: Unknowing Algorithms: On Transparency of Unopenable Black Boxes
- Cornelius Puschmann & Julian Ausserhofer: Social Data APIs: Origin, Types, Issues
- Tommaso Venturini et al.: How to Tell Stories with Networks: Exploring the Narrative Affordances of Graphs with the Iliad
- Karin van Es et al.: Towards a Reflexive Digital Data Analysis
Section 3: Research Ethics
- Gerwin van Schie et al.: Get Your Hands Dirty: Emerging Data Practices as Challenge for Research Integrity
- Annette Markham & Elizabeth Buchanan: Research Ethics in Context: Decision-Making in Digital Research
- Koen Leurs & Tamara Shepherd: Datafication & Discrimination
Section 4: Key Ideas in Big Data Research
Schäfer, Mirko Tobias; van Es, Karin (Hg.): The Datafied Society: Studying Culture through Data. Amsterdam: Amsterdam University Press 2017. DOI: https://doi.org/10.25969/mediarep/3676.
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