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  1. Boundary-Work and the Demarcation of Science from Non-science: Strains and Interests in Professional Ideologies of Scientists.Thomas F. Gieryn - 1983 - American Sociological Review 48 (6):781-795.
    The demarcation of science from other intellectual activities-long an analytic problem for philosophers and sociologists-is here examined as a practical problem for scientists. Construction of a boundary between science and varieties of non-science is useful for scientists' pursuit of professional goals: acquisition of intellectual authority and career opportunities; denial of these resources to "pseudoscientists"; and protection of the autonomy of scientific research from political interference. "Boundary-work" describes an ideological style found in scientists' attempts to create a public image for science (...)
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  • Actor Network Theory and After.John Law & John Hassard - 1999 - Wiley-Blackwell.
    Actor network theory is a powerful approach which combines the insights of post-structuralism with an analysis of the materials of social life. This controversial and path-breaking volume extends ANT beyond studies of technology, power and organisation to the body, subjectivity, politics, and cultural difference, and puts it into cutting-edge dialogue with feminism, anthropology, psychology and economics.
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  • Reassembling the Social: An Introduction to the Actor-Network Theory.Bruno Latour - 2005 - Oxford, England and New York, NY, USA: Oxford University Press.
    Latour is a world famous and widely published French sociologist who has written with great eloquence and perception about the relationship between people, science, and technology. He is also closely associated with the school of thought known as Actor Network Theory. In this book he sets out for the first time in one place his own ideas about Actor Network Theory and its relevance to management and organization theory.
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  • Twitter: Social Communication in the Twitter Age.[author unknown] - 2013
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  • Critical data studies: An introduction.Federica Russo & Andrew Iliadis - 2016 - Big Data and Society 3 (2).
    Critical Data Studies explore the unique cultural, ethical, and critical challenges posed by Big Data. Rather than treat Big Data as only scientifically empirical and therefore largely neutral phenomena, CDS advocates the view that Big Data should be seen as always-already constituted within wider data assemblages. Assemblages is a concept that helps capture the multitude of ways that already-composed data structures inflect and interact with society, its organization and functioning, and the resulting impact on individuals’ daily lives. CDS questions the (...)
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  • Virality: Contagion Theory in the Age of Networks.Tony D. Sampson - 2012 - Univ of Minnesota Press.
    In this thought-provoking work, Tony D. Sampson presents a contagion theory fit for the age of networks. Unlike memes and microbial contagions, _Virality_ does not restrict itself to biological analogies and medical metaphors. It instead points toward a theory of contagious assemblages, events, and affects. For Sampson, contagion is not necessarily a positive or negative force of encounter; it is how society comes together and relates. Sampson argues that a biological knowledge of contagion has been universally distributed by way of (...)
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  • Complementary social science? Quali-quantitative experiments in a Big Data world.Morten Axel Pedersen & Anders Blok - 2014 - Big Data and Society 1 (2).
    The rise of Big Data in the social realm poses significant questions at the intersection of science, technology, and society, including in terms of how new large-scale social databases are currently changing the methods, epistemologies, and politics of social science. In this commentary, we address such epochal questions by way of a experiment: at the Danish Technical University in Copenhagen, an interdisciplinary group of computer scientists, physicists, economists, sociologists, and anthropologists is setting up a large-scale data infrastructure, meant to continually (...)
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  • Stitching together the heterogeneous party: A complementary social data science experiment.Morten A. Pedersen, Snorre Ralund, Mette M. Madsen, Tobias B. Jørgensen, Hjalmar B. Carlsen & Anders Blok - 2017 - Big Data and Society 4 (2).
    The era of ‘big data’ studies and computational social science has recently given rise to a number of realignments within and beyond the social sciences, where otherwise distinct data formats – digital, numerical, ethnographic, visual, etc. – rub off and emerge from one another in new ways. This article chronicles the collaboration between a team of anthropologists and sociologists, who worked together for one week in an experimental attempt to combine ‘big’ transactional and ‘small’ ethnographic data formats. Our collaboration is (...)
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