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Thick Big DataDoing Digital Social Sciences$
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Dariusz Jemielniak

Print publication date: 2020

Print ISBN-13: 9780198839705

Published to Oxford Scholarship Online: May 2020

DOI: 10.1093/oso/9780198839705.001.0001

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 22 October 2021

Methods of Researching Online Communities

Methods of Researching Online Communities

Chapter:
(p.23) 3 Methods of Researching Online Communities
Source:
(p.iii) Thick Big Data
Author(s):

Dariusz Jemielniak

Publisher:
Oxford University Press
DOI:10.1093/oso/9780198839705.003.0003

The chapter presents the idea of Thick Big Data, a methodological approach combining big data sets with thick, ethnographic analysis. It presents different quantitative methods, including Google Correlate, social network analysis (SNA), online polls, culturomics, and data scraping, as well as easy tools to start working with online data. It describes the key differences in performing qualitative studies online, by focusing on the example of digital ethnography. It helps using case studies for digital communities as well. It gives specific guidance on conducting interviews online, and describes how to perform narrative analysis of digital culture. It concludes with describing methods of studying online cultural production, and discusses the notions of remix culture, memes, and trolling.

Keywords:   Big Data, thick data, digital ethnography, culturomics, social network analysis, data scraping, digital cultural studies, remix culture

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