social sciences
D. Boullier (2018) Medialab Stories: How to Align Actor Network Theory and Digital Methods
Big Data & Society (2018). In this paper, the story of Sciences Po Médialab told by Venturini et al. (2017) is discussed and completed by demonstrating the incoherence in the choice of digital methods at the Médialab from the actor network theory perspective. As the Médialab mostly used web topologies as structural analysis of social […]
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BOULLIER, D. (2017), « Big data challenge for social sciences and market research: from society and opinion to replications »
in Cochoy, F., Hagberg, J., Petersson McIntyre, M. and Sörum, N. (eds.), Digitalizing Consumption, Tracing How Devices Shape Consumer Culture, London and New York, Routledge. A new generation of social sciences is knocking at the door. To put it simply, marketing and computer sciences take ownership and generate monitoring of the tools for social […]
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Boullier, D. (2017), « Big data challenges for social sciences: from society and opinion to replications »
ISA esymposium, vol.7; issue n°2 Big Data dealing with the social produce predictive correlations for the benefit of brands and web platforms. Beyond ‘society’ and ‘opinion’ for which the text lays out a genealogy, appear the ‘traces’ that must be theorised as ‘replications’ by the social sciences in order to reap the benefits of […]
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