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L’immaginazione sociologica e le conseguenze sociali del Covid-19

Authors: Tiziano Bonini;

L’immaginazione sociologica e le conseguenze sociali del Covid-19

Abstract

This brief contribution aims to apply sociological imagination to the issues that emerged with the Covid- 19 crisis and suggests some possible topics and methodologies of research. In the first section I describe three relevant themes, among the many possible ones: 1) the new role of personal data (especially those related to our health); 2) the "mediatisation" of distance; 3) the environmental impact of digital media. In the second section, I conclude with a note on how to set the sociological imagination in motion. Among the possible methods, I suggest the rediscovery/adoption of ethnographic methods, and among them, in particular, auto-ethnography. I maintain that it might be useful to study with an ethnographic approach the sociality produced during these days of confinement, instead of using the usual online questionnaires, which often represent a lazy way, for the researcher, to delegate the work of data production to others. Instead, it would be more interesting to return to participant observation and study media as a practice (Couldry 2004). In the conclusions I briefly sketch how it could still be possible to do ethnography in the field in the age of physical distancing and new possible lockdowns.

Countries
Germany, Italy
Related Organizations
Keywords

mediatisation, digital divide, climate change, big data, digital divide; big data; mediatisation; climate change; sociological imagination, sociological imagination

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green