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Facing Big Data: Making sociology relevant:

Facing Big Data: Making sociology relevant: Working with computational methods and large textual analysis has been challenging and very rewarding—with all the ups and downs that doing empirical social research entails. In my contribution, I relate some research experiences and reflect upon data construction and the links between theory, data, and methods. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Big Data & Society SAGE

Facing Big Data: Making sociology relevant:

Big Data & Society , Volume 2 (2): 1 – Dec 1, 2015

Facing Big Data: Making sociology relevant:

Big Data & Society , Volume 2 (2): 1 – Dec 1, 2015

Abstract

Working with computational methods and large textual analysis has been challenging and very rewarding—with all the ups and downs that doing empirical social research entails. In my contribution, I relate some research experiences and reflect upon data construction and the links between theory, data, and methods.

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Publisher
SAGE
Copyright
Copyright © 2022 by SAGE Publications Ltd, unless otherwise noted. Manuscript content on this site is licensed under Creative Commons Licenses.
ISSN
2053-9517
eISSN
2053-9517
DOI
10.1177/2053951715599179
Publisher site
See Article on Publisher Site

Abstract

Working with computational methods and large textual analysis has been challenging and very rewarding—with all the ups and downs that doing empirical social research entails. In my contribution, I relate some research experiences and reflect upon data construction and the links between theory, data, and methods.

Journal

Big Data & SocietySAGE

Published: Dec 1, 2015

Keywords: Big Data; sociology; computational social science; topic modeling; textual analysis; data construction

References