Switch to: References

Add citations

You must login to add citations.
  1. Feminist Data Studies: Using Digital Methods for Ethical, Reflexive and Situated Socio-Cultural Research.Koen Leurs - 2017 - Feminist Review 115 (1):130-154.
    What could a social-justice oriented, feminist data studies look like? The current datalogical turn foregrounds the digital datafication of everyday life, increasing algorithmic processing and data as an emergent regime of power/knowledge. Scholars celebrate the politics of big data knowledge production for its omnipotent objectivity or dismiss it outright as data fundamentalism that may lead to methodological genocide. In this feminist and postcolonial intervention into gender-, race- and geography-blind ‘big data’ ideologies, I call for ethical, anti-oppressive digital data-driven research in (...)
    Download  
     
    Export citation  
     
    Bookmark   4 citations  
  • Known or knowing publics? Social media data mining and the question of public agency.Giles Moss & Helen Kennedy - 2015 - Big Data and Society 2 (2).
    New methods to analyse social media data provide a powerful way to know publics and capture what they say and do. At the same time, access to these methods is uneven, with corporations and governments tending to have best access to relevant data and analytics tools. Critics raise a number of concerns about the implications dominant uses of data mining and analytics may have for the public: they result in less privacy, more surveillance and social discrimination, and they provide new (...)
    Download  
     
    Export citation  
     
    Bookmark   13 citations  
  • Experimental Design: Ethics, Integrity and the Scientific Method.Jonathan Lewis - 2020 - In Ron Iphofen (ed.), Handbook of Research Ethics and Scientific Integrity. Springer. pp. 459-474.
    Experimental design is one aspect of a scientific method. A well-designed, properly conducted experiment aims to control variables in order to isolate and manipulate causal effects and thereby maximize internal validity, support causal inferences, and guarantee reliable results. Traditionally employed in the natural sciences, experimental design has become an important part of research in the social and behavioral sciences. Experimental methods are also endorsed as the most reliable guides to policy effectiveness. Through a discussion of some of the central concepts (...)
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  • Recommendation Systems as Technologies of the Self: Algorithmic Control and the Formation of Music Taste.Nedim Karakayali, Burc Kostem & Idil Galip - 2018 - Theory, Culture and Society 35 (2):3-24.
    The article brings to light the use of recommender systems as technologies of the self, complementing the observations in current literature regarding their employment as technologies of ‘soft’ power. User practices on the music recommendation website last.fm reveal that many users do not only utilize the website to receive guidance about music products but also to examine and transform an aspect of their self, i.e. their ‘music taste’. The capacity of assisting users in self-cultivation practices, however, is not unique to (...)
    Download  
     
    Export citation  
     
    Bookmark   10 citations  
  • Affect and value in critical examinations of the production and ‘prosumption’ of Big Data.Daniel G. Cockayne - 2016 - Big Data and Society 3 (2).
    In this paper I explore the relationship between the production and the value of Big Data. In particular I examine the concept of social media ‘prosumption’—which has predominantly been theorized from a Marxist, political economic perspective—to consider what other forms of value Big Data have, imbricated with their often speculative economic value. I take the example of social media firms in their early stages of operation to suggest that, since these firms do not necessarily generate revenue, data collected through user (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • Toward an Ethics of Algorithms: Convening, Observation, Probability, and Timeliness.Mike Ananny - 2016 - Science, Technology, and Human Values 41 (1):93-117.
    Part of understanding the meaning and power of algorithms means asking what new demands they might make of ethical frameworks, and how they might be held accountable to ethical standards. I develop a definition of networked information algorithms as assemblages of institutionally situated code, practices, and norms with the power to create, sustain, and signify relationships among people and data through minimally observable, semiautonomous action. Starting from Merrill’s prompt to see ethics as the study of “what we ought to do,” (...)
    Download  
     
    Export citation  
     
    Bookmark   38 citations  
  • Data and agency.Jose van Dijck, Thomas Poell & Helen Kennedy - 2015 - Big Data and Society 2 (2).
    This introduction to the special issue on data and agency argues that datafication should not only be understood as the process of collecting and analysing data about Internet users, but also as feeding such data back to users, enabling them to orient themselves in the world. It is important that debates about data power recognise that data is also generated, collected and analysed by alternative actors, enhancing rather than undermining the agency of the public. Developing this argument, we first make (...)
    Download  
     
    Export citation  
     
    Bookmark   8 citations  
  • Navigating Big Data dilemmas: Feminist holistic reflexivity in social media research.Danielle J. Corple, Jasmine R. Linabary & Cheryl Cooky - 2018 - Big Data and Society 5 (2).
    Social media offers an attractive site for Big Data research. Access to big social media data, however, is controlled by companies that privilege corporate, governmental, and private research firms. Additionally, Institutional Review Boards’ regulative practices and slow adaptation to emerging ethical dilemmas in online contexts creates challenges for Big Data researchers. We examine these challenges in the context of a feminist qualitative Big Data analysis of the hashtag event #WhyIStayed. We argue power, context, and subjugated knowledges must each be central (...)
    Download  
     
    Export citation  
     
    Bookmark   4 citations  
  • Social Media and the Politics of Small Data: Post Publication Peer Review and Academic Value.Lisa Blackman - 2016 - Theory, Culture and Society 33 (4):3-26.
    Academics across the sciences and humanities are increasingly being encouraged to use social media as a post-publication strategy to enhance and extend the impact of their articles and books. As well as various measures of social media impact, the turn towards publication outlets which are open access and free to use is contributing to anxieties over where, what and how to publish. This is all the more pernicious given the increasing measures of academic value that govern the academy, and the (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  • Data and life on the street.David Sweeney, Tim Regan, Siân Lindley & Alex S. Taylor - 2014 - Big Data and Society 1 (2).
    What does the abundance of data and proliferation of data-making methods mean for the ordinary person, the person on the street? And, what could they come to mean? In this paper, we present an overview of a year-long project to examine just such questions and complicate, in some ways, what it is to ask them. The project is a collective exercise in which we – a mixture of social scientists, designers and makers – and those living and working on one (...)
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  • Manipulate to empower: Hyper-relevance and the contradictions of marketing in the age of surveillance capitalism.Detlev Zwick & Aron Darmody - 2020 - Big Data and Society 7 (1).
    In this article, we explore how digital marketers think about marketing in the age of Big Data surveillance, automatic computational analyses, and algorithmic shaping of choice contexts. Our starting point is a contradiction at the heart of digital marketing namely that digital marketing brings about unprecedented levels of consumer empowerment and autonomy and total control over and manipulation of consumer decision-making. We argue that this contradiction of digital marketing is resolved via the notion of relevance, which represents what Fredric Jameson (...)
    Download  
     
    Export citation  
     
    Bookmark   5 citations  
  • How do data come to matter? Living and becoming with personal data.Deborah Lupton - 2018 - Big Data and Society 5 (2).
    Humans have become increasingly datafied with the use of digital technologies that generate information with and about their bodies and everyday lives. The onto-epistemological dimensions of human–data assemblages and their relationship to bodies and selves have yet to be thoroughly theorised. In this essay, I draw on key perspectives espoused in feminist materialism, vital materialism and the anthropology of material culture to examine the ways in which these assemblages operate as part of knowing, perceiving and sensing human bodies. I draw (...)
    Download  
     
    Export citation  
     
    Bookmark   15 citations  
  • Data journeys: Capturing the socio-material constitution of data objects and flows.Paula Goodale, Yu-Wei Lin & Jo Bates - 2016 - Big Data and Society 3 (2).
    In this paper, we discuss the development and piloting of a new methodology for illuminating the socio-material constitution of data objects and flows as data move between different sites of practice. The data journeys approach contributes to the development of critical, qualitative methodologies that can address the geographic and temporal scale of emerging knowledge infrastructures, and capture the ‘life of data’ from their initial generation through to re-use in different contexts. We discuss the theoretical development of the data journeys methodology (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • After the crisis? Big Data and the methodological challenges of empirical sociology.Mike Savage & Roger Burrows - 2014 - Big Data and Society 1 (1).
    Google Trends reveals that at the time we were writing our article on ‘The Coming Crisis of Empirical Sociology’ in 2007 almost nobody was searching the internet for ‘Big Data’. It was only towards the very end of 2010 that the term began to register, just ahead of an explosion of interest from 2011 onwards. In this commentary we take the opportunity to reflect back on the claims we made in that original paper in light of more recent discussions about (...)
    Download  
     
    Export citation  
     
    Bookmark   20 citations  
  • Developing a feeling for error: Practices of monitoring and modelling air pollution data.Emma Garnett - 2016 - Big Data and Society 3 (2).
    This paper is based on ethnographic research of data practices in a public health project called Weather Health and Air Pollution. I examine two different kinds of practices that make air pollution data, focusing on how they relate to particular modes of sensing and articulating air pollution. I begin by describing the interstitial spaces involved in making measurements of air pollution at monitoring sites and in the running of a computer simulation. Specifically, I attend to a shared dimension of these (...)
    Download  
     
    Export citation  
     
    Bookmark   5 citations