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.

Format:

Book

Author/Creator:

Brooker, Phillip, author.

Barnett, Julie (Social psychologist), author.

Cribbin, Timothy, author.

Lang, Alexandra R., author.

Martin, Jennifer, author.

Series:

SAGE research methods. Cases.

SAGE research methods. Cases

Language:

English

Subjects (All):

Twitter (Firm).

Cystic fibrosis--Public opinion--Research--Case studies.

Cystic fibrosis.

Physical Description:

1 online resource : illustrations (colour).

Place of Publication:

London : SAGE Publications, 2014.

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.

Notes:

Includes bibliographical references.

Description based on online resource; title from home page (viewed on November 19, 2015).

ISBN:

9781473949454 (ebook) :

OCLC:

953360159