Surveillance, Snowden, and Big Data: Capacities, consequences, critique
TLDR
Big Data intensifies certain surveillance trends associated with information technology and networks, and is thus implicated in fresh but fluid configurations, and the ethical turn becomes more urgent as a mode of critique.Abstract:
The Snowden revelations about National Security Agency surveillance, starting in 2013, along with the ambiguous complicity of internet companies and the international controversies that followed pr...read more
Citations
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Hypernudge: Big Data as a mode of regulation by design
TL;DR: It is argued that concerns about the legitimacy of these techniques are not satisfactorily resolved through reliance on individual notice and consent, touching upon the troubling implications for democracy and human flourishing if Big Data analytic techniques driven by commercial self-interest continue their onward march unchecked by effective and legitimate constraints.
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Strategic opportunities (and challenges) of algorithmic decision-making
Sue Newell,Marco Marabelli +1 more
TL;DR: This Viewpoint article aims to shed light on the tension between businesses - that increasingly profile customers and personalize products and services - and individuals, who are often unaware of how the data they produce are being used, and by whom and with what consequences.
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Digital education governance: data visualization, predictive analytics, and ‘real-time’ policy instruments
TL;DR: The landscape of digital policy instrumentation in education is surveyed and maps and two detailed case studies of new digital data systems are provided, including ‘learning analytics’ platforms that enable the tracking and predicting of students’ performances through their digital data traces.
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The Datafication of Health
TL;DR: This review examines how scholars in anthropology, sociology, science and technology studies, and media and communication studies have begun to explore the datafication of clinical and self-care practices, identifying the dominant themes and questions, methodological approaches, and analytical resources of this emerging literature.
References
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Detecting influenza epidemics using search engine query data
Jeremy Ginsberg,Matthew H. Mohebbi,Rajan Patel,Lynnette Brammer,Mark S. Smolinski,Lawrence B. Brilliant +5 more
TL;DR: A method of analysing large numbers of Google search queries to track influenza-like illness in a population and accurately estimate the current level of weekly influenza activity in each region of the United States with a reporting lag of about one day is presented.
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Critical questions for big data
danah boyd,Kate Crawford +1 more
TL;DR: The era of Big Data has begun as discussed by the authors, where diverse groups argue about the potential benefits and costs of analyzing genetic sequences, social media interactions, health records, phone logs, government records, and other digital traces left by people.
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The Parable of Google Flu: Traps in Big Data Analysis
David Lazer,Ryan Kennedy,Ryan Kennedy,Ryan Kennedy,Gary King,Alessandro Vespignani,Alessandro Vespignani +6 more
TL;DR: Large errors in flu prediction were largely avoidable, which offers lessons for the use of big data.
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The surveillant assemblage.
TL;DR: The work of Gilles Deleuze and Felix Guattari is used to analyse the convergence of once discrete surveillance systems and transforms the purposes of surveillance and the hierarchies of surveillance, as well as the institution of privacy.
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Datafication, dataism and dataveillance: Big Data between scientific paradigm and ideology
TL;DR: This article deconstructs the ideological grounds of datafication, a ideology rooted in problematic ontological and epistemological claims that shows characteristics of a widespread secular belief in the context of a larger social media logic.