Thick Big Data - Doing Digital Social Sciences (Paperback)

The social sciences are becoming datafied. The questions once considered the domain of sociologists are now answered by data scientists operating on large datasets and breaking with methodological tradition, for better or worse. The traditional social sciences, such as sociology or anthropology, are under the double threat of becoming marginalized or even irrelevant, both from new methods of research which require more computational skills and from increasing competition from the corporate world which gains an additional advantage based on data access. However, unlike data scientists, sociologists and anthropologists have a long history of doing qualitative research. The more quantified datasets we have, the more difficult it is to interpret them without adding layers of qualitative interpretation. Big Data therefore needs Thick Data. This book presents the available arsenal of new methods and tools for studying society both quantitatively and qualitatively, opening ground for the social sciences to take the lead in analysing digital behaviour. It shows that Big Data can and should be supplemented and interpreted through thick data as well as cultural analysis. Thick Big Data is critically important for students and researchers in the social sciences to understand the possibilities of digital analysis, both in the quantitative and qualitative area, and to successfully build mixed-methods approaches.

General

Imprint:	Oxford UniversityPress
Country of origin:	United Kingdom
Release date:	March 2020
Authors:	Dariusz Jemielniak (Full Professor of Management)
Dimensions:	211 x 134 x 11mm (L x W x T)
Format:	Paperback
Pages:	208
ISBN-13:	978-0-19-883971-2
Categories:	Books > Reference & Interdisciplinary > Communication studies > Data analysis Books > Reference & Interdisciplinary > Communication studies > Research methods Books > Business & Economics > Business & management > General Books > Computing & IT > Applications of computing > Databases > Data capture & analysis
LSN:	0-19-883971-5
Barcode:	9780198839712

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