Video Data Analysis - Anne Nassauer, Nicolas Legewie

Video Data Analysis

How to Use 21st Century Video in the Social Sciences
Buch | Softcover
320 Seiten
2022
SAGE Publications Ltd (Verlag)
978-1-5297-2245-1 (ISBN)
48,60 inkl. MwSt
This book provides an adaptable, step-by-step framework for using and analysing video data in social science research in an ethical, effective way.
Nominated for the Ludwik Fleck Prize - awarded annually to an exemplary book in Science and Technology Studies that contributes to the global STS community

Nominated for the Robert K. Merton Book Award  - this is awarded annually in recognition of an outstanding book on science, knowledge, and/or technology. 
 
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. 

Anne Nassauer is a sociologist with a research focus on interactions, deviant and collective behavior, and the use of 21st century video data for scientific inquiry. Her research lies at the intersection between sociology, social psychology, and criminology. She often combines Video Data Analysis and interdisciplinary theoretical perspectives with the ultimate goal to better understand social processes and interaction. Nicolas M. Legewie’s research focuses on the impact of social networks on social inequality and mobility. He also does extensive work on research methodology, with a focus on Video Data Analysis, mixed methods, digital social science research, and research ethics.

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

Erscheinungsdatum
Verlagsort London
Sprache englisch
Maße 170 x 242 mm
Gewicht 540 g
Themenwelt Sozialwissenschaften Soziologie Empirische Sozialforschung
ISBN-10 1-5297-2245-4 / 1529722454
ISBN-13 978-1-5297-2245-1 / 9781529722451
Zustand Neuware
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