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
4 - Geospatial Analysis of Social Media Data
Published online by Cambridge University Press: 03 November 2022
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
Summary
One of the most exciting types of social media data is geolocated data, which includes the source location of the post, based on the GPS capabilities of the posting device. Chapter 4 discusses the particular advantages offered by this data, including the capacity to perform extremely fine-grained subnational studies impossible with traditional sources of data. In addition, the chapter provides software for processing geocoded social media data in order to efficiently identify the country and subnational unit of every tweet in a collection, including an example application collecting all geocoded tweets in the world.
- Type
- Chapter
- Information
- Social Media as Social Science Data , pp. 85 - 121Publisher: Cambridge University PressPrint publication year: 2022