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Machine generated contents note: Contents page Acknowledgments Chapter One: Introduction Chapter Two: Constellations of Liveness Chapter Three: Liveness and Institutionalization Chapter Four: "Live" as an Evaluative Category Chapter Five: Social TV and the Multiplicity of the Live Chapter Six: Social Media's New Relation to the Live Conclusions.

Taking up the challenges of the datafication of culture, as well as of the scholarship of cultural inquiry itself, this collection contributes to the critical debate about data and algorithms. How can we understand the quality and significance of current socio-technical transformations that result from datafication and algorithmization? How can we explore the changing conditions and contours for living within such new and changing frameworks? How can, or should we, think and act within, but also in response to these conditions?

This collection brings together various perspectives on the datafication and algorithmization of culture from debates and disciplines within the field of cultural inquiry, specifically (new) media studies, game studies, urban studies, screen studies, and gender and postcolonial studies. It proposes conceptual and methodological directions for exploring where, when, and how data and algorithms (re)shape cultural practices, create (in)justice, and (co)produce knowledge.

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 -- 6. 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 -- 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 -- 11. How to Tell Stories with Networks: Exploring the Narrative Affordances of Graphs with the Iliad / Tommaso Venturini, Liliana Bounegru, Mathieu Jacomy & Jonathan Gray -- 12. 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 -- 15. Datafication & Discrimination / Koen Leurs & Tamara Shepherd -- Section 4 - Key Ideas in Big Data Research -- 16. The Myth of Big Data / Nick Couldry

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

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.

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. AUP S17 Catalogue text

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 visualization, and raising important political and ethical questions regarding its collection, handling, and presentation.

This article explores datawalking as a novel method in media and communication research for studying datafication. Drawing from existing literature, datawalking is characterized as an embodied, situated and generative practice. These affordances of walking help to tackle existing research challenges and connect lived experiences to data infrastructural concerns. More specifically, contemporary research on the deep mediatized city faces challenges that pertain to the invisibility, loss of context and access to data and its infrastructures. It is argued that datawalks, as an empirical method in media and communication research, offers a much-needed anchoring of data as material and situated, and constitutive of everyday life.

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. AUP S17 Catalogue text 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 visualization, and raising important political and ethical questions regarding its collection, handling, and presentation.