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The Big Data Agenda
This book highlights that the capacity for gathering, analysing, and utilising vast amounts of digital (user) data raises significant ethical issues. Annika Richterich provides a systematic contemporary overview of the field of critical data studies that reflects on practices of digital data collection and analysis. The book assesses in detail one big data research area: biomedical studies, focused on epidemiological surveillance. Specific case studies explore how big data have been used in academic work. The Big Data Agenda concludes that the use of big data in research urgently needs to be considered from the vantage point of ethics and social justice. Drawing upon discourse ethics and critical data studies, Richterich argues that entanglements between big data research and technology/ internet corporations have emerged. In consequence, more opportunities for discussing and negotiating emerging research practices and their implications for societal values are needed.
Digital Culture and Society (DCS)
Digital Culture & Society is a refereed international journal fostering discussion about the ways in which digital technologies, platforms, and applications reconfigure daily lives and practices. It offers a forum for inquiries into digital media theory, methodologies, and sociotechnological developments. The fourth issue, "Making and Hacking," presents original, empirical contributions as well as methodological and conceptual reflections. The articles collected in this issue address the multiple meanings of making and hacking and shed light on the communities, spaces, and practices of makers and hackers.
The Big Data Agenda
Current big data practices are largely guided by deliberations concerning their efficiency, and optimisation. Yet there is another perspective. This book highlights that the capacity for gathering, analysing, and utilising vast amounts of digital (user) data raise significant ethical issues. Annika Richterich provides a systematic contemporary overview of the field of critical data studies that reflects on - corporate, institutional, and governmental - practices of digital data collection and analysis. It assesses in detail one big data research area: biomedical studies, focused on epidemiological surveillance. Specific case studies explore how big data have been used in academic work. The Big Data Agenda concludes by asking if data ownership can be reclaimed by citizens from being simply an assertion of a conception of rights to (user) data that is defined by technological domination. She argues data literacy and discourse ethics may contain solutions as well as a critique.
Politics of Big Data
Digital Culture & Society is a refereed international journal that fosters discussion about the ways in which digital technologies, platforms, and applications reconfigure daily lives and practices. It offers a forum for critical analysis and inquiries into digital media theory and provides a publication environment for interdisciplinary research approaches, contemporary theory developments, and methodological innovation. The third issue, "Politics of Big Data," edited by Mark Cot , Paolo Gerbaudo, and Jennifer Pybus, critically examines the political and economic dimensions of Big Data and thus details its contestation. The contributions focus on the materialities and processes which manifest Big Data and explore forms of value beyond the state and capital. These range from open data initiatives, social media metrics, machine learning algorithms, data visualization to data dashboards, critical data analysis, and new modes of data action research and practice.
Digital Culture and Society (DCS)
This issue discusses theoretical and artistic investigations of citizen engagement, digital citizenship, and grassroots information politics. Articles reflect on the role of the digital citizen.
Digital Culture and Society (DCS)
Digital Culture & Society is a refereed international journal, fostering discussion about the ways in which digital technologies, platforms, and applications reconfigure daily lives and practices. It offers a forum for inquiries into digital media theory, methodologies, and sociotechnological developments. This issue shows: The meaning of AI has undergone drastic changes during the last 60 years of AI discourse(s). What we talk about when saying AI is not what it meant in 1958, when John McCarthy, Marvin Minsky and their colleagues started using the term. Biological information processing is now firmly embedded in commercial applications like the intelligent personal Google Assistant, Facebook's facial recognition algorithm, Deep Face, Amazon's device Alexa, or Apple's software feature Siri to mention just a few.
Digital Culture & Society (DCS)
This issue presents empirical studies as well as theoretical and methodological reflections on inequalities and divides in digital cultures. From various (inter-)disciplinary perspectives, the authors examine three main themes--inequality of access, inequality by design and discursive divides, and inequality by algorithms.
Digital Culture and Society (DCS) Vol. 3, Issue 2/2017
"Digital Culture & Society" is a refereed, international journal, fostering discussion about the ways in which digital technologies, platforms and applications reconfigure daily lives and practices. It offers a forum for critical analysis and inquiries into digital media theory and provides a publication environment for interdisciplinary research approaches, contemporary theory developments and methodological innovation. This issue, edited by Anna Lisa Ramella, Asko Lehmuskallio, Tristan Thielmann and Pablo Abend, discusses the mobility of people, data and devices from the perspective of digital mobile practices. As the authors of various empirical case studies show, these need to be studied both situationally, and on the move. With contributions by Marion Schulze, Jamie Coates, Geoffrey Hobbis, Samuel Gerald Collins, among others, and an interview with Heather Horst, David Morley, and Noel B. Salazar.
Digital Culture & Society (DCS)
Digital Culture & Society is a refereed, international journal, fostering discussion about the ways in which digital technologies, platforms and applications reconfigure daily lives and practices. It offers a forum for inquiries into digital media theory, methodologies, and socio-technological developments. This issue shows: The meaning of AI has undergone drastic changes during the last 60 years of AI discourse(s). What we talk about when saying AI is not what it meant in 1958, when John McCarthy, Marvin Minsky and their colleagues started using the term. Biological information processing is now firmly embedded in commercial applications like the intelligent personal Google Assistant, Facebook's facial recognition algorithm, Deep Face, Amazon's device Alexa or Apple's software feature Siri to mention just a few.
Digital Culture & Society (DCS)
»Digital Culture & Society« is a refereed, international journal, fostering discussion about the ways in which digital technologies, platforms and applications reconfigure daily lives and practices. It offers a forum for critical analysis and inquiry into digital media theory. The journal provides a venue for publication for interdisciplinary research approaches, contemporary theory developments and methodological innovation in digital media studies. It invites reflection on how culture unfolds through the use of digital technology, and how it conversely influences the development of digital technology itself. The inaugural issue »Digital Material/ism« presents methodological and theoretical insights into digital materiality and materialism.
