Issue |
SHS Web Conf.
Volume 175, 2023
International Conference in Innovation on Statistical Models Applied on Management, Humanity and Social Sciences (ICISMAMH2S 2023)
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Article Number | 01054 | |
Number of page(s) | 11 | |
DOI | https://doi.org/10.1051/shsconf/202317501054 | |
Published online | 30 August 2023 |
Sociology & Digital Technology: The Mutation of Sociological Research
Sociological Department, Mohamed v University, Morocco
* Corresponding author: boualouelarabi@gmail.com
Due to digital technology, data production has grown exponentially, creating enormous enthusiasm within the scientific community for “big data”. This socio-technical phenomenon gives rise to dualities and conflicting attitudes in sociology: unlimited synchronic numerical data against classical data at risk of expiry, rigorous methodological process as opposed to a stagnation of the protocol. And has put in a vice the research techniques and their associated modes of resonance. In this article, from a consultation of the literature, three fundamental aspects will be subject to explore: the forced adjustment of the domain, the transformations of the methods of data collection, and the models of reasoning about the theory. In the outcome, the vast availability of digital data show how far the digital has invaded sociology by announcing the embarrassment of classical researchers facing big data, the obsolescence of traditional techniques and the change of models reasoning. Moreover, three models of interaction trace the ways of dealing with this digital derivative ranging from protection by the total refusal so that the discipline does not become digital, conservation manifested by a reserved acceptance by sociologists, finally, a trend of adoption under the pretext that digital technology transforms the functioning of societies and the ways of knowing about them.
Key words: Digital Technology / Big Data / Digital Ecosystems / Sociology / Digital Data / Methods / Social Reality
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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