Lockdown Anthropology and Online Surveys
Unprecedented Methods for Unprecedented Times
Bibliographic Data
| ID | 6170899 |
|---|---|
| Authors | Nicholas J Long (0000-0002-4088-1661, London School of Economics and Political Science, corresponding author) |
| Year | 2020 |
| Volume | 8 |
| Issue | 2 |
| Pages | 294-297 |
| Publication date | 2020-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Studies in Indian Politics (JOURNAL) |
| Journal identifiers | ISSN: 2321-0230 • E-ISSN: 2321-7472 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/2321023020963839 |
| OpenAlex | W3110827956 |
| Language | EN |
| Citations received | 9 |
| References cited | 8 |
This paper explores the value of online surveys as a methodology for conducting anthropological research on, and during, lockdowns implemented to curb the transmission of SARS-CoV-2, the coronavirus responsible for COVID-19.I argue that despite longstanding disciplinary suspicion towards survey methods, qualitative online surveys may be more useful than conventional ethnography for developing the analytical frameworks necessary to comprehend the social realities that are emerging as a result of large-scale social distancing regimes. * * *As SARS-CoV-2 spreads across the world, it has become commonplace to suggest we live in unprecedented times.Certainly, as an anthropologist who has long worked on emergent socialities and citizens' engagements with regimes of governmentality, the pandemic presented me with an unprecedented predicament.I was eager to investigate the new social worlds instigated by the pandemic and contribute to the academic and political debates surrounding them, yet my go-to methodology of ethnographic fieldwork was impossible
Data science · Geography · Political science · Sociology · Computer Science · COVID-19 and Mental Health · COVID-19 epidemiological studies · Misinformation and Its Impacts
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| Unique citing works | 9 |
|---|---|
| Citations per year | 1,8 |
| Citation span | 2021 - 2025 (5) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 8 |