The computational analysis of digital traces in ethnographic studies of online communities
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AMHQBDJKX" target="_blank" >RIV/00216208:11320/23:MHQBDJKX - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173641596&doi=10.1177%2f07591063231196161&partnerID=40&md5=70445ba772777122cc6c4aca35cf3493" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173641596&doi=10.1177%2f07591063231196161&partnerID=40&md5=70445ba772777122cc6c4aca35cf3493</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1177/07591063231196161" target="_blank" >10.1177/07591063231196161</a>
Alternative languages
Result language
angličtina
Original language name
The computational analysis of digital traces in ethnographic studies of online communities
Original language description
"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. © The Author(s) 2023."
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
"BMS Bulletin of Sociological Methodology/ Bulletin de Methodologie Sociologique"
ISSN
0759-1063
e-ISSN
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Volume of the periodical
160
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
27
Pages from-to
30-56
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85173641596