Book contents
- Frontmatter
- Contents
- Figures
- Tables
- Code Snippets
- Acknowledgments
- 1 Why Social Media Matters to the Social Sciences
- 2 Getting Started with Social Media Data
- 3 Content Analysis of Social Media Data
- 4 Geospatial Analysis of Social Media Data
- 5 Network Analysis of Social Media Data
- 6 The Ethics of Using Social Media Data
- References
- Index
3 - Content Analysis of Social Media Data
Published online by Cambridge University Press: 03 November 2022
- Frontmatter
- Contents
- Figures
- Tables
- Code Snippets
- Acknowledgments
- 1 Why Social Media Matters to the Social Sciences
- 2 Getting Started with Social Media Data
- 3 Content Analysis of Social Media Data
- 4 Geospatial Analysis of Social Media Data
- 5 Network Analysis of Social Media Data
- 6 The Ethics of Using Social Media Data
- References
- Index
Summary
This chapter focuses on content analysis and introduces the collection of data from Twitter by either select keywords or languages. It then develops computerized content analysis techniques for use on tweets, covering the particular challenges of adapting these techniques for usage on the text from social media (for instance, dealing with the often very short passages of text, the especially dense usage of colloquialisms, and the frequent mixing of different languages within a particular source of social media text data). It also covers the download of other forms of content (such as video and images) and the handling of meta-objects such as mentions and hashtags.
Keywords
- Type
- Chapter
- Information
- Social Media as Social Science Data , pp. 40 - 84Publisher: Cambridge University PressPrint publication year: 2022