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Computational Ethnography: A Case of COVID-19’s Methodological Consequences
Computational Ethnography: A Case of COVID-19’s Methodological Consequences
Reflecting on a methodological experiment, we discuss the use of computational techniques in anthropology. The experiment was based on a collaborative effort by a team of ethnographers to produce an archive on the digitalisation of everyday life that took place during the COVID-19 pandemic. We describe how online ethnographic data collection took place using digitally mediated interviews, participant observation in virtual events, and mobile ethnography. We analyse the consequences of online ethnography for establishing rapport and present steps taken to create an infrastructure for navigating ethnographic material comprising more than 3000 pages of text generated by multiple ethnographers.
- Aalborg University Library (AUB) Denmark
- Aalborg University Denmark
Computational ethnography, SDG 3 - Good Health and Well-being, Digital anthropology, Corona crisis, digital ethnography, COVID-19, /dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being, Digitalization, Digital Methods, Computational anthropology, Everyday Life
Computational ethnography, SDG 3 - Good Health and Well-being, Digital anthropology, Corona crisis, digital ethnography, COVID-19, /dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being, Digitalization, Digital Methods, Computational anthropology, Everyday Life
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).2 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.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average 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).2 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.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!- Aalborg University Library (AUB) Denmark
- Aalborg University Denmark
Reflecting on a methodological experiment, we discuss the use of computational techniques in anthropology. The experiment was based on a collaborative effort by a team of ethnographers to produce an archive on the digitalisation of everyday life that took place during the COVID-19 pandemic. We describe how online ethnographic data collection took place using digitally mediated interviews, participant observation in virtual events, and mobile ethnography. We analyse the consequences of online ethnography for establishing rapport and present steps taken to create an infrastructure for navigating ethnographic material comprising more than 3000 pages of text generated by multiple ethnographers.