I METADATI DI QUESTO DOI SONO STATI AGGIORNATI IL: 2024-01-10 22:57
Titolo completo
SOCIOLOGIA E RICERCA SOCIALE
Editore
FrancoAngeli
ISSN
1121-1148 (Rivista Stampata)
1971-8446 (Rivista Online)
Numero del fascicolo
109
Designazione del fascicolo
109
Data del fascicolo (YYYY/MM)
2016/06
Titolo completo
La profondità dei big data. Datacentrismo, ragnatele di significati digitali e cultura algoritmica
Di (autore)
Prima Pagina
54
Ultima Pagina
69
Lingua del testo
Italiano
Data di publicazione
2016/06
Copyright
2016 FrancoAngeli srl
Introduzione o prefazione
The main objective of this paper is to describe and analyze the high cultural density and ideological character of the Big Data phenomenon. The technical nature of computational models and the affirmative logic of algorithmic culture conceal the functioning of the mechanisms, simultaneously symbolic and ideological, that contribute to structuring Big Data. As data, it represents the result of an intricate process of construction, imagination, and interpretation. On the other hand, the role played by powerful technological corporations and by a specific form of neoliberal state highlights only the exchange value of Big Data, the production of which is aimed to fulfil commercial and surveillance needs.
Citazione non strutturata
C. Anderson (2008), «The End of Theory: The Data Deluge makes the Scientific Method Obsolete », Wired, June 23, http://www.wired.com/2008/06/pb-theory.
Citazione non strutturata
D. Berry (2011), «The Computational Turn: Thinking about the Digital Humanities», Culture Machine, 12, http://www.culturemachine.net/index.php/cm/article/view/440/470.
Citazione non strutturata
K. Crawford (2013), «The Hidden Biases in Big Data», Harvard Business Review, https://hbr.org/2013/04/the-hidden-biases-in-big-data.
Citazione non strutturata
P. Du Gay, M. Pryke (2002), Cultural Economy: Cultural Analysis and Commercial Life, London, Sage.
Citazione non strutturata
C. Geertz (1973), The Interpretation of Cultures, New York, Basic Books; tr. it., Interpretazioni di culture, Bologna, il Mulino, 1998.
Citazione non strutturata
L. Gitelman (ed.) (2013), «Raw Data» is an Oxymoron, Cambridge, The Mit Press.
https://doi.org/10.7551/mitpress/9302.001.0001
Citazione non strutturata
L. Gitelman, V. Jackson (2013), Introduction, in L. Gitelman (ed.), «Raw Data» is an Oxymoron, Cambridge, The Mit Press.
https://doi.org/10.7551/mitpress/9302.001.0001
Citazione non strutturata
M. Hardt, A. Negri (2012), Questo non è un manifesto, Milano, Feltrinelli.
Citazione non strutturata
R. Lake (2013), A Curriculum of Imagination in an Era of Standardization: An Imaginative Dialogue with Maxine Greene and Paulo Freire, Charlotte, Information Age Pub.
Citazione non strutturata
L. Manovich (2011), Trending: The Promises and the Challenges of Big Social Data, in M.K. Gold (ed.), Debates in the Digital
Humanities, Minneapolis, The University of Minnesota Press.
https://doi.org/10.5749/minnesota/9780816677948.003.0047
Citazione non strutturata
E. Morozov (2013), To save Everything click here. Technology, Solutionism and the Urge to fix Problems that don’t exist, New York, Allen Lane; tr. it., Internet non salverà il mondo, Milano, Mondadori, 2014.
Citazione non strutturata
M. Pasquinelli (2009), Google’s PageRank Algorithm: A Diagram of the Cognitive Capitalism and the Rentier of the Common Intellect, in K. Becker, F. Stalder (ed.), Deep Search: The Politics of Search Beyond Google, London: Transaction Publishers.
Citazione non strutturata
T. Terranova (2014), Red Stack Attack! Algorithms, Capital and the Automation of the Common, in R. Mackay, A. Avanessian (ed.), #Accelerate: The Accelerationist Reader, Falmouth, Urbanomic.