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Book Cover
Author Brooker, Phillip, author

Title User-driven data capture : locating and analysing Twitter conversation about cystic fibrosis without keywords / Phillip Brooker & Julie Barnett & Timothy Cribbin & Alexandra R. Lang & Jennifer Martin
Published [Los Angeles, California] : SAGE, 2014
Online access available from:
Sage Research Methods Cases    View Resource Record  


Description 1 online resource : illustrations (colour)
Series SAGE research methods. Cases
SAGE research methods. Cases
Summary The power and promise of social media as a resource and tool for doing social research is widely recognised and much vaunted. Social media data are becoming an increasingly attractive resource for social scientists, but the question remains as to what exactly we might want to do with data like these. This study describes a small-scale interdisciplinary project in medical sociology which instigated the development of an innovative method for making practical use of 'big data' drawn from Twitter. What results is a depiction of how a collaboration between software developers, requirements engineers and social scientists demonstrated a need for a new method of data capture
Bibliography Includes bibliographical references
Notes Online resource; title from home page (viewed on November 19, 2015)
Subject Twitter (Firm)
Cystic fibrosis -- Public opinion -- Research -- Case studies.
Genre/Form Case studies.
Case studies.
Form Electronic book
Author Barnett, Julie (Social psychologist), author
Cribbin, Timothy, author
Lang, Alexandra R., author
Martin, Jennifer, author
ISBN 1473949459 (ebook)
9781473949454 (ebook)