The computational analysis of digital traces in ethnographic studies of online communities
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
The computational analysis of digital traces in ethnographic studies of online communities
Popis výsledku v původním jazyce
"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."
Název v anglickém jazyce
The computational analysis of digital traces in ethnographic studies of online communities
Popis výsledku anglicky
"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."
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
—
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
"BMS Bulletin of Sociological Methodology/ Bulletin de Methodologie Sociologique"
ISSN
0759-1063
e-ISSN
—
Svazek periodika
160
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
27
Strana od-do
30-56
Kód UT WoS článku
—
EID výsledku v databázi Scopus
2-s2.0-85173641596