Representaciones sociales del big data en la prensa digital argentina.

Gaston Becerra

doi:10.24215/16696581e726

Authors

Gaston Becerra CONICET https://orcid.org/0000-0001-9432-8848

DOI:

https://doi.org/10.24215/16696581e726

Keywords:

big data, social representations, argentinian press, artificial intelligence

Abstract

Abstract: In this work we investigate how social representations are built around big data in the Argentine press, giving an account of the imaginaries to which it resorts, the voices that stand out, and unraveling the myths and fantasies that it awakens and that contribute to its social acceptance. We are guided by Serge Moscovici's Theory of Social Representations, and we focus on the representation construction process. We work with a qualitative design aimed at content analysis of a news corpus (period 2010-2022) of Argentine digital media. Our results include the characterization of big data as a new era, objectifications around datasets and experts, anchors in knowledge and information management, and an ambivalent attitude towards big data. In the discussion we compare these results with others from foreign corpus, and with our own with different designs.

Downloads

Download data is not yet available.

References

Abric, J.-C. (1993). Central System, Peripheral System: Their functions and roles in the dynamics of social representations. Papers on Social Representations, 2(2), 75–78.

Auerbach, C., & Silverstein, L. B. (2003). Qualitative data: an introduction to coding and analysis. New York University Press.

boyd, D., & Crawford, K. (2012). Critical Questions for Big Data. Information, Communication & Society, 15(5), 662–679.

Castorina, J. (2016). La significación de la teoría de las representaciones sociales para la psicología. Perspectivas En Psicología, 13(1), 1–10. https://dialnet.unirioja.es/servlet/articulo?codigo=5523376

De Rosa, A. S. (2013). Social Representations in the ‘ Social Arena .’ Routledge.

Diebold, F. X. (2012). The Origin(s) and development of “ Big Data ”: the phenomenon , the term , and the discipline. Penn Economics Working Paper, 12. https://doi.org/10.2139/ssrn.2202843

Esposito, E. (2022). Artificial communication. How algorithms produce social intelligence. The MIT Press.

Glaser, B., & Strauss, A. (1967). The Discovery of Grounded Theory: Strategies for Qualitative Research. Aldine Publishing.

Jodelet, D. (1985). La representación social: fenómenos, conceptos y teoría. In S. Moscovici (Ed.), Psicología Social II (pp. 17–40). Paidós.

Kitchin, R. (2014). The Data Revolution: Big Data, Open Data, Data Infrastructures and Their Consequences. Sage. https://doi.org/10.4135/9781473909472

Kitchin, R., & Lauriault, T. P. (2014). Towards critical data studies : Charting and unpacking data assemblages and their work. Geoweb and Big Data, 1–19. http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2474112

Kitchin, R., & McArdle, G. (2016). What makes Big Data, Big Data? Exploring the ontological characteristics of 26 datasets. Big Data and

Society, 3(1), 1–10. https://doi.org/10.1177/2053951716631130

Leonelli, S. (2020). Scientific Research and Big Data. Stanford Encyclopedia of Philosophy.

Luhmann, N. (2007). La sociedad de la sociedad. Herder / Universidad Iberoamericana.

Lupton, D. (2015). Digital Sociology. Routledge. https://doi.org/10.1057/9781137297792

Mayer-Schonberger, V., & Cukier, K. (2013). Big data. A revolution that whill transform how we live, work, and think. Eamon Dolan/Houghton Mifflin Harcourt.

McCarthy, M. T. (2016). The big data divide and its consequences. Sociology Compass, 10(12), 1131–1140. https://doi.org/10.1111/soc4.12436

Moscovici, S. (1979). El psicoanalisis, su imagen y su publico. Huemul.

Mozorov, E. (2015). La locura del solucionismo tecnológico. Clave Intelectual.

Paganoni, M. C. (2019). Framing big data : a linguistic and discursive approach. palgrave macmillan.

Pentzold, C., Brantner, C., & Fölsche, L. (2019). Imagining big data: Illustrations of “big data” in US news articles, 2010–2016. New Media & Society, 21(1), 139–167. https://doi.org/10.1177/1461444818791326

Pentzold, C., & Fischer, C. (2017). Framing Big Data: The discursive construction of a radio cell query in Germany. Big Data & Society, 4(2). https://doi.org/10.1177/2053951717745897

Portmess, L., & Tower, S. (2015). Data barns, ambient intelligence and cloud computing: the tacit epistemology and linguistic representation of Big Data. Ethics and Information Technology, 17(1), 1–9. https://doi.org/10.1007/s10676-014-9357-2

Puschmann, C., & Burgess, J. (2014). Metaphors of Big Data. International Journal of Communication, 8, 1690–1709.

Restrepo Ochoa, D. (2013). La Teoría Fundamentada como metodología para la integración del análisis procesual y estructural en la investigación de las Representaciones Sociales. Revista CES Psicología, 6(1), 122–133. https://doi.org/10.21615/2579

Sadowski, J. (2019). When data is capital: Datafication, accumulation, and extraction. Big Data and Society, 6(1), 1–12. https://doi.org/10.1177/2053951718820549

Srnicek, N. (2018). Capitalismo de plataformas. Caja Negra.

van Dijck, J. (2014). Datafication, dataism and dataveillance: Big data between scientific paradigm and ideology. Surveillance and Society, 12(2), 197–208.

Vasilachis de Gialdino, I. (2006). Estrategias de investigación cualitativa. Gedisa.

Wagner, W., & Hayes, N. (2011). El discurso de lo cotidiano y el sentido común. La teoría de las representaciones sociales. Anthropos.

Zuboff, S. (2015). Big other: Surveillance capitalism and the prospects of an information civilization. Journal of Information Technology, 30(1), 75–89. https://doi.org/10.1057/jit.2015.5