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Krieg LJ, Berning M, Hardon A. 
“Anthropology with algorithms?: An exploration of online drug knowledge using digital methods”. 
Medicine Anthropology Theory. 2017 Sep 28;4(3):21-52.
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.
Notes # : Unfortunately, this paper's analysis of Erowid exhibits terrible introductory-level errors and thus also bad peer review. Authors contacted us but ignored our requirement that we help them edit. The reason we require that is to avoid horrible misunderstandings like the authors and editors make in this.
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