Video data analysis : how to use 21st century video in the social sciences
著者
書誌事項
Video data analysis : how to use 21st century video in the social sciences
SAGE, c2022
- hbk
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内容説明・目次
内容説明
Video data is transforming the possibilities of social science research. Whether through mobile phone footage, body-worn cameras or public video surveillance, we have access to an ever-expanding pool of data on real-life situations and interactions.
This book provides a flexible framework for working with video data and understanding what it says about social life. With examples from a range of real video research projects, the book showcases step-by-step how to analyse any kind of data, including both found and generated videos. It also includes a non-technical discussion of computer vision and its opportunities for social science research.
With this book you will be able to:
* Complete each step of the research process fully and efficiently, from data collection to management, analysis, and interpretation
* Use video data in an ethical and effective way to maximise its impact
* Utilise contemporary technology and accessible platforms such as YouTube, Twitter, Tik Tok and Facebook.
This book is an ideal toolkit for researchers or postgraduate students across the social sciences working with video data as a part of their research projects. Accessible and practical, is written for qualitative and quantitative researchers, newcomers and experienced scholars.
Features include interactive activities for different skill levels and 'what to read next' sections to help you engage further with the research mentioned in the book.
目次
Part I: Novel Opportunities
Chapter 1: The Rise of Video Data in Social Science Research
A New Era
Novel Opportunities
Chapter 2: Video Data Analysis - A multidisciplinary Framework
What is Video Data Analysis?
What makes video data unique?
What are limitations of video data and VDA?
Part II: Conducting Video Data Analysis
Chapter 3: Step 1 - Theoretical Perspectives, Object of Analysis, and Analytical Lens
Choosing the theoretical perspective
Reflecting on the object of study
Selecting facets of analytical dimensions
Chapter 4: Step 2 - Ethical Considerations
What is research ethics?
Research Ethics and Video Data Analysis
Assessing a VDA Study from an Ethical Standpoint
Chapter 5: Step 3 - Data Collection and Management
Case Selection and Validity in VDA
Collecting Custom-Made Data
Collecting Ready-Made Data
Triangulation
Data Management
Chapter 6: Step 4 - Analyzing Video Data
Coding and concepts
Timing and sequence
Counts and quantifications
Rhythm and turn-taking
Studying Actors
Social relations and networks
Spacing
Additional analytical tools
Chapter 7: Step 5 - Presentation of Findings
How was the presented data collected?
Where do you present your VDA findings?
Part III: Future Developments in VDA
Chapter 8: Video Data Analysis and Computer Vision
Computer vision in a nutshell
How can computer vision help VDA?
What are main challenges?
Chapter 9: Conclusion: The Future of Video Data in Social Science Research
Looking ahead
The Dawn of Video Data Analysis
「Nielsen BookData」 より
