Big Data for All: Privacy and User Control in the Age of Analytics

By Omer Tene, Jules Polonetsky. 2012

562 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/ae79976928acbc477c49d6502fa008d815de2515

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Citations in the corpus

Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda (2018, background): “Privacy issues due to the advent of big data analytics [147,166] and the contention between transparency and privacy is also an active area of investigation [38, 111].”
Seven HCI Grand Challenges (2019, background): “…for every newfangled technological domain, such as AI, AmI, big data, Internet of Things (IoT), autonomous agents and robotics, as well as mobility services, e.g . automated driving (Biondi, Alvarez, & Jeong, 2019; Dignum,2018 ; Tene & Polonetsky, 2013; Ziegeldorf, Morchon, & Wehrle, 2014).”
Social Injustice in Surveillance Capitalism (2017, background): “This shapes “who we are before we make up our own minds” (Richards and King 2014: 396) and creates or further entrenches our sociocultural hierarchies (Tene and Polonetsky 2012).”
Towards Critical Data Studies: Charting and Unpacking Data Assemblages and Their Work (2014, methodology): “They are also being used to underpin new forms of dynamic and personalised pricing, tailored to a consumer’s profile and purchase history, that are designed to leverage optimal spending (Tene and Polonetsky 2012).”
The Ethics of Big Data: Current and Foreseeable Issues in Biomedical Contexts (2015, methodology): “Where explicit theories and frameworks of privacy were applied, the OECD’s Fair Information Principles and Nissenbaum’s ‘contextual integrity’ (2004) were influential (see for example Andrejevic 2014; Helbing and Balietti 2011; Tene and Polonetsky 2013).”
Digital subjectivation and financial markets: Criticizing Social Studies of Finance with Lazzarato (2016, background): “Not all data-gathering institutions are, for instance, inclined to share collected data with their subjects (Pasquale, 2015: 9; Tene and Polonetsky, 2013: 254–255).”
Big Data Analytics in Intelligent Transportation Systems: A Survey (2019, background): “To prevent unauthorized disclosure of the personal private information, governments should develop complete data privacy laws which include what data can be published, the scope of the data publishing and using, the basic principles of data distribution, data availability and other areas [157].”
The ethics of smart cities and urban science (2016, background): “seek to generate and hoard large volumes of data to extract additional value [67].”
Creating Strategic Business Value from Big Data Analytics: A Research Framework (2018, background): “While creating value, data deluge presents privacy concerns that may stir a regulatory backlash dampening the data economy and stifling innovation [56].”
The ethics of algorithms: Mapping the debate (2016, unknown): “…unsustainable, as shown by prior work demonstrating the normativity of information technologies in general and algorithm development in particular 14 (e.g. Bozdag, 2013; Friedman and Nissenbaum, 1996; Kraemer et al., 2011; Macnish, 2012; Newell and Marabelli, 2015: 6; Tene and Polonetsky, 2013b).”