Computational ethnography

A view from sociology

Dados Bibliográficos

ID5260656
AutoresPhillip Brooker (0000-0003-1189-4647, University of Liverpool, autor correspondente)
Ano2022
Volume9
Fascículo1
Data de publicação2022-01-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoBig Data & Society (JOURNAL)
Identificadores do periódicoISSN: 2053-9517 • E-ISSN: 2053-9517
EditoraSAGE Publications Inc (PUBLISHER)
DOI10.1177/20539517211069892
OpenAlexW4206946349
IdiomaEN
Citações recebidas9
Referências citadas23

This commentary elaborates on the ideas and projects outlined in this special issue, from a specifically sociological perspective. Much recent work in sociology proposes 'methods mashups' of ethnography and digital data/computational tools in different and diverse ways. However, typically, these have taken the form of applying (with or without tweaks) the principles of ethnography to new domains and data types, as if ethnography itself is stable and immutable; that it has a universal set of methodological principles that unify ethnographic practice. Returning to anthropology (whence, arguably, ethnography originally came) is, therefore, a useful way to extend our methodological thinking to (re)consider what ethnography is and how it operates, and from there think more clearly about how it may be effectively combined with digital data/computational tools in an emerging 'Computational Anthropology

Epistemology · Ethnography · Social science · Sociology · Anthropology · Computational and Text Analysis Methods · Computer Science · Data Analysis and Archiving · Focus Groups and Qualitative Methods · Philosophy · Artificial Intelligence