Sociotechnical research in BIG DATA.A challenge for the qualitative analysis of #8M and #9M in times of pandemic
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https://orcid.org/0000-0002-2242-3210
Angelica Evangelista García
https://orcid.org/0000-0002-4460-854X
Abstract
The challenge that academies face in qualitative analysis, development and provision of organized information produced from BIG DATA systems, which is useful for citizen analysis of speeches, messages, dialogues and news geolocated in contexts, is discussed. of pandemic serves to document the feminist marches of March 8 and the women's strike of March 9 of the years 2020, 2021 and 2022, years that marked a before, during and after confinement by COVID-19. This paper shows in a preliminary way, a novel methodological support from which people interested in comprehensive approaches from the social sciences and humanities start their own debate. The discussion, study and analysis of the interactions that we exchange on the network is an issue that has been postponed for more than a decade, and it has been promoted that the work of producing and analyzing high volumes of data does not correspond to qualitative analysis and it is argued that they are exclusive techniques of info-technique in which textual information and trends, themes and hashtags are represented. Today we know that is not so. That the studies of discourse, text and multimedia comprehension also correspond to the field of qualitative methods for which we have the task of being protagonists of issues, initiatives, claims, fears, complaints and struggles around human rights and hacktivism inside and outside the network. Doing so leads us to delve into the most innovative processes and analyzes that have emerged in recent years where we need to take a leap in scale where the great acceleration of the Technocene-Anthropocene debates in the networks the validity of a new "algorithmic governance" associated to the availability of massive data or BIG DATA.
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