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Selecting, scraping, and sampling big data sets from the internet : fan blogs as exemplar / Lynne M. Webb & Danna M. Gibson & Yuanxin Wang & Hao-Chieh Chang & Marceline Thompson-Hayes.
- Format:
- Book
- Author/Creator:
- Webb, Lynne M., author.
- Gibson, Danna M., author.
- Wang, Yuanxin, author.
- Chang, Hao-Chieh, author.
- Thompson-Hayes, Marceline, author.
- Series:
- SAGE research methods. Cases.
- SAGE research methods. Cases
- Language:
- English
- Subjects (All):
- Blogs--Research.
- Blogs.
- Big data.
- Quantitative research--Case studies.
- Quantitative research.
- Physical Description:
- 1 online resource.
- Place of Publication:
- London : SAGE Publications, 2015.
- Summary:
- This case study uses a study of fan blog commentary to explain how researchers decide precisely what text to gather from the internet as well as how they identify the locations of that content, decide exactly which website from which to gather data, and how to get the data from the internet into text files for analysis.
- Notes:
- Includes bibliographical references.
- Description based on online resource; title from home page (viewed on November 17, 2015).
- ISBN:
- 9781473962996 (ebook) :
- OCLC:
- 953360014
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