Anthropology with algorithms? An exploration of online drug knowledge using digital methods

Open Access
Authors
Publication date 2017
Journal Medicine Anthropology Theory
Volume | Issue number 4 | 3
Pages (from-to) 21-52
Organisations
  • Faculty of Social and Behavioural Sciences (FMG) - Amsterdam Institute for Social Science Research (AISSR)
Abstract
Based on a study of more than twenty thousand reports on drug experiences from the online drug education portal Erowid, this article argues that the integration of ethnographic methods with computational methods and digital data analysis, including so-called big data, is not only possible but highly rewarding. The analysis of ‘natively’ digital data from sites like Facebook, message boards, and web archives can offer glimpses into worlds of practice and meaning, introduce anthropologists to user-based semantics, provide greater context, help to re-evaluate hypotheses, facilitate access to difficult fields, and point to new research questions. This case study generated important insights into the social and political entanglements of drug consumption, drug phenomenology, and harm reduction. We argue here that deep ethnographic knowledge, what we term ‘field groundedness’, is indispensable for thoroughly making sense of the resulting visualizations, and we advocate for seeing ethnography and digital data analysis in a symbiotic relationship.
Document type Article
Language English
Published at https://doi.org/10.17157/mat.4.3.458
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art-krieg-mat-v4_3 (Final published version)
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