The Politics of Big Data Assemblages


One way to study the politics of big data is the inspection of their assemblages. By opening up the “black boxes” of data assemblages, it is possible to reconstruct the choices, compromises, conflicts and agree-ments that contributed to the construction of a given datum. Leaning on in-depth interviews and focus groups with experts and specialists who work within three European data centers, we unveil the interde-pendence between social and technical aspects and between a series of internal and external actors, which all contribute to the data assemblage. Results show that communities of experts, technologies, stakeholders and end-users are entwined components that interact amongst them in a contingent and complex web of negotiations and constraints and frame what is possible, desirable and expected by data.

DOI Code: 10.1285/i20356609v11i2p448

Keywords: Data Assemblage; Big Data; Symbolic power; Qualitative interviews; Data centers


Alonso W., P. Starr (eds. 1987), The politics of numbers, New York: Russell Sage Foun-dation.

Anderson B. (1991), Imagined Communities, Revised Edition, New York: Verso.

Anderson C. (2008), “The End of Theory: The Data Deluge Makes the Scientific Method Obsolete”, Wired magazine, 16(7): 16-07.

Anderson M., S. E. Fienberg (2000), “Partisan politics at work: Sampling and the 2000 census”, PS: Political Science & Politics, 33(4): 795-799.

Antonelli F. (2016), “Ambivalence of official statistics: some theoretical-methodological notes”, International Review of Sociology, 26(3), 354-366.

Aragona B. (2008), “Una nuova cultura del dato”, Sociologia e ricerca sociale.

Aragona B., R. De Rosa (2018), "Policy making at the time of Big Data: datascape, datasphere, data culture", AIS Journal of Sociology: 173-185.

Baldacci E. (2016), Innovation in statistical processes and products: a European view, Dodicesima Conferenza nazionale di statistica "Più forza ai dati: un valore per il Paese", Rome, June 22-24, 2016.

Bourdieu P. (1979), “Symbolic power”, Critique of anthropology, 4(13-14), 77-85.

Bourdieu P. (1988), “Social space and symbolic power”, Sociological Theory, 7(1): 14-25.

Bourdieu P. (1991), Language and symbolic power, Harvard: Harvard University Press.

boyd d., K. Crawford (2012), “Critical questions for big data: Provocations for a cultur-al, technological, and scholarly phenomenon”, Information, communication & society, 15(5): 662-679.

Bowker G., L. Star (1999), Sorting Things Out: Classification and Its Consequences. Cambridge, MA: MIT Press, Cambridge.

Bowker G.C. (2013), “Data flakes: An afterword to ‘Raw Data’ is an oxymoron,” in L. Gitelman (ed.), “Raw data” is an oxymoron, Cambridge, Mass.: MIT Press, pp. 167-171.

Conte R. (2016), “Big Data: un’opportunità per le scienze sociali?”, Sociologia e Ricerca Sociale, 109(3): 18-27.

Dalton C., J. Thatcher (2014), “What does a critical data studies look like, and why do we care? Seven points for a critical approach to ‘big data’”, Society and Space open site.

de Leonardis O. (2009), “Conoscenza e democrazia nelle scelte di giustizia: un’introduzione”, La Rivista delle politiche sociali, 2009(3): 73-84.

Deleuze G., Guattari F. (1980), Mille Plateaux. Capitalisme et Schizophrénie, Paris: Les Editions de Minuit.

Desroiséres A. (1998), The politics of large numbers: a history of statistical reasoning, Cambridge: Harward University Press.

Desroiséres A. (2010), La politique des grands nombres, Paris: Editions La Découverte.

Desrosières A., L. Thévenot (1988), Les catégories socioprofessionnelles, Paris: Edi-tions La Découverte.

Floridi L. (2013), The philosophy of information, Oxford: OUP.

Foucault M. (1980), Power/knowledge, New York: Pantheon Book.

Geiger R. S. (2017), “Beyond opening up the black box: Investigating the role of algo-rithmic systems in Wikipedian organizational culture”, Big Data & Society, 4(2), 2053951717730735.

Giovannini E. (2014), Conoscenza e politica al tempo dei Big Data, Bologna: Il Mulino.

Gitelman L. (2013), ‘Raw Data’ is an Oxymoron, Cambridge: MIT Press.

Hacking I. (1982), “Biopower and the avalanche of numbers”, Humanities in Society, 5(3-4): 279-295.

Hacking I. (2007), “Kinds of people: Moving targets”, in Proceedings-British Academy, Oxford University Press INC., p. 285.

Iliadis A., F. Russo (2016), “Critical data studies: An introduction”, Big Data & Society, 3(2), 2053951716674238.

Kertzer D., D. Arel (2002), Census and identity, New York.

Kitchin R. (2014), The Data Revolution: Big Data, Open Data, Data Infrastructures and Their Consequences, London: Sage.

Kitchin R., T. P. Lauriault (2014), Towards critical data studies: Charting and unpacking data assemblages and their work, The programmable city working paper, 2.

Lackatos I. (1976), “Proof and refutations”, in J. Worral and E. Zahar (eds.), The logic of mathematical discovery, Cambridge: Cambridge University Press.

Latour B. (1987), Science in action, Cambridge (MA): Harvard University Press.

Lauriault T.P. (2012), Data, Infrastructures and Geographical Imaginations. Ph.D. Thesis, Carleton University, Ottawa.

Lieberman D. Z. (2008), “Evaluation of the stability and validity of participant samples recruited over the internet”, CyberPsychology & Behavior, 11(6), 743-745.

Luhmann N. (1984), Soziale systeme, Frankfurt am Main: Suhrkamp.

Luhmann N. (1997), “Limits of steering”, Theory, culture & society, 14(1): 41-57.

Mattern S. (2013), Methodolatry and the art of measure: The new wave of urban data science, Places Journal, Retrieved November 5, 2013 (

Mayer-Schönberger V., K. Cukier (2012), Big Data: A revolution that transforms how we work, live, and think, Boston: Houghton Mifflin Harcourt.

Milan S. (2017), “Data Activism as the New Frontier of Media Activism”, in G. Yang and V. Pickard (eds.), Media Activism in the Digital Age, London: Routledge.

Nobles M. (2000), Shades of citizenship: Race and the census in modern politics, Cali-fornia: Stanford University Press.

Pasquale F. (2015), The black box society: The secret algorithms that control money and information, Harvard: Harvard University Press.

Poovey M. (1998), A History of the Modern Fact: Problems of Knowledge in the Sciences of Wealth and Society, Chicago: University Chicago Press.

Ribes D., S. J. Jackson (2013), “Data bite man: the work of sustaining long-term study”, in L. Gitelman (ed.), “Raw data” is an oxymoron, Cambridge, Mass.: MIT Press, pp. 147-166.

Ruppert E., Isin E., and D. Bigo (2017), “Data politics”, Big Data & Society: 4(2): 1-7.

Salais R. (2004), “La politique des indicateurs. Du taux de chômage au taux d’emploi dans la stratégie européenne pour l’emploi (SEE)”, in B. Zimmermann, Action publique et sciences sociales, Paris: Editions de la Maison des Sciences de l’Homme.

Salais R., M. Storper (1993), “Les mondes de production (enquête sur l'identité économique de la France)”, Civilisations et sociétés.

Sassen S. (2008), “Neither global nor national: novel assemblages of territory, authority and rights”, Ethics & global politics, 1(1-2): 61-79.

Seaver N. (2017), “Algorithms as culture: Some tactics for the ethnography of algorith-mic systems”, Big Data & Society, 4(2), 2053951717738104.

Sen A. (1990), “Justice: Means versus Freedoms”, Philosophy & Public Affairs, 19(2): 111-121.

Star S. L. (1999), “The Ethnography of Infrastructure”, American Behavioral Scientist, 43(3): 377-391.

Stoker G., M. Evans (eds. 2016), Evidence-based Policy Making in the Social Sciences: Methods that Matter, Bristol: Policy Press.

Supiot A. (2016), La Gouvernance par les nombres, Paris: Fayard.

Taylor L, Schroeder R, and E. Meyer (2014), “Emerging practices and perspectives on Big Data analysis in economics: Bigger and better or more of the same?” Big Data & Society, 1(2): 7-16.

Thévenot L. (1984), “Rules and implements: investment in forms”, Information, Inter-national Social Science Council, 23(1): 1-45.

Thrift N. (2005), Knowing capitalism, London: Sage.

Verhulst S.G., A. Young (2017), Open data in developing economies, New York: GOVLAB.

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