Affiliation:
1. HSE University, Moscow, Russian Federation
Abstract
This article proposes a methodological approach that integrates quantitative analysis into ethnographic studies of online communities. By considering traces of interactions in digital environments, it demonstrates the potential benefits of computational analysis in enhancing online ethnography. The application of quantitative methods, which may be unconventional in the field of ethnography, effectively complements qualitative understanding. Computational analysis of digital traces provides a valuable framework for observations within online ethnography. Through a case study of a Russian-speaking sociological online community, this article highlights the points where research questions intersect, fostering a dialogue between computational analysis of digital traces and online ethnography. It describes the implementation of methods such as content analysis, network analysis, and topic modeling, while also reflecting on their analytical capabilities within the context of online ethnography.
Subject
Sociology and Political Science
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