Video data analysis: how to use 21st century video in the social sciences
Gespeichert in:
| Hauptverfasser: | , |
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| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Los Angeles ; London ; New Dehli ; Singapore ; Washington DC ; Melbourne
SAGE
[2022]
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Klappentext |
| Beschreibung: | xvi, 302 Seiten Illustrationen, Diagramme |
| ISBN: | 9781529722468 9781529722451 |
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Datensatz im Suchindex
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| adam_text | CONTENTS List ofFigures About the Authors Acknowledgements Discover Your Online Resources PARTI NOVEL OPPORTUNITIES 1 2 Introduction - The Rise of Video Data in Social Science Research ix xi xiii xv 1 3 1.1 A new era 1.2 Novel opportunities 1.2.1 Two technological innovations 1.2.2 Analyzing the social 1.3 About this book 1.3.1 Aims of this book 1.3.2 What is to come What to read next Activities 3 5 6 10 14 14 16 20 22 Video Data Analysis - A Multi-disciplinary Framework 25 2.1 What is Video Data Analysis? 2.1.1 VDA studies situational driving dynamics of social processes and events 2.1.2 VDA studies real-life situational dynamics 2.1.3 VDA analyzes ready-made and custom-made videos 2.1.4 VDA focuses on video content 2.1.5 VDA is multi-disciplinary 2.2 What makes video data unique? 2.2.1 Detailed 2.2.2 Rewatchable 2.2.3 Crowd-sourced 2.3 What are the limitations of video data and VDA? 2.3.1 Situation-bound 2.3.2 The curse of detail 2.3.3 Research ethics 25 27 29 30 32 34 35 35 37 38 39 39 41 42
VIDEO DATA ANALYSIS What to read next Activities 43 46 PART II CONDUCTING VIDEO DATA ANALYSIS 3 4 Step 1 - Theoretical Perspectives, Object of Analysis, and Analytical Lens 51 3.1 Introduction 3.2 Choosing the theoretical perspective 3.2.1 Macro-micro links 3.2.2 Situational dynamics as phenomena in their own right 3.2.3 Micro-macro links 3.3 Reflecting on the object of study 3.3.1 What iá your case a case of? 3.3.2 Type of explanandum 3.3.3 Unit of analysis 3.4 Selecting facets of analytical dimensions 3.4.1 Face and body 3.4.2 Actions and interactions 3.4.3 Context What to read next Activities 51 55 58 59 61 62 63 64 65 66 66 69 72 74 75 Step 2 - Ethical Considerations 77 4.1 Introduction 4.2 What are research ethics? 4.3 Research ethics and Video Data Analysis 4.3.1 Informed consent 4.3.2 Privacy 4.3.3 Unique opportunities 4.3.4 Assessing risk and minimizing potential harm 4.3.5 Transparency 4.4 Assessing a VDA study from an ethical standpoint 4.4.1 Decisions in the face of uncertainty 4.4.2 Applying the heuristic What to read next Activities 5 49 ։ 77 79 81 82 85 89 92 96 99 100 101 104 106 Step 3 - Data Collection and Management 111 5.1 Introduction 5.2 Case selection and validity in VDA 5.2.1 How many cases/observations do I need? 111 112 112 5.2.2 Validity in VDA 116 vl
CONTENTS 6 7 5.3 Collecting custom-made data 5.3.1 Strengths and opportunities of custom-made data 5.3.2 Limitations and pitfalls of custom-made video data 5.3.3 Practical considerations 5.4 Collecting ready-made data 5.4.1 Strengths and opportunities of ready-made data 5.4.2 Limitations and pitfalls of ready-made data 5.4.3 Practical considerations 5.5 Triangulation 5.6 Data management 5.6.1 Keeping data safe: Data storage 5.6.2 Making data easy to use: Documenting data What to read next Activities 118 120 121 122 126 127 128 130 133 135 135 136 137 141 Step 4 - Analyzing Video Data 145 6.1 Introduction 6.2 Coding and concepts 6.2.1 Constructing concepts 6.2.2 Creating a coding scheme 6.2.3 Applying your coding scheme to your videos 6.2.4 Coding challenges, teams, and experts 6.3 Timing and sequence 6.4 Counts and quantifications 6.5 Rhythm and turn-taking 6.6 Studying actors 6.7 Social relations and networks 6.8 Spacing 6.9 Additional analytical tools What to read next Activities 145 148 150 151 154 159 161 168 171 172 174 175 177 178 182 Step 5 - Presentation of Findings 185 7.1 Introduction 7.2 How was the presented data collected? 7.2.1 Custom-made videos 7.2.2 Ready-made videos 7.3 Where do you present your VDA findings? 7.3.1 Print 7.3.2 Oral presentations 185 186 187 189 191 191 196 vii
VIDEO DATA ANALYSIS 7.3.3 Interactive presentations What to read next Activities 200 205 207 PARTIU FUTURE DEVELOPMENTS IN VDA 209 8 Video Data Analysis and Computer Vision 211 8.1 Introduction 8.2 Computer vision in a nutshell 8.2.1 How to get access to CV tools? 8.2.2 How does CV work? 8.2.3 Evaluating and improving CV algorithms 8.3 How can computer vision help VDA? 8.3.1 Studying face and body through CV 8.3.2 Studying actions and interactions through CV 8.3.3 Studying context through CV 8.4 What are main challenges? 8.4.1 Racial and gender bias 8.4.2 Challenges to model performance 8.4.3 Labeling data sets 8.4.4 Ethics What to read next Activities 211 213 214 216 219 220 220 222 229 232 232 233 234 235 237 240 Conclusion: The Future of Video Data in Social Science Research 9.1 Looking ahead 9.1.1 Exploring the micro level of theory and practice 9.1.2 Open questions in research ethics 9.1.3 Potentials of software automation 9.2 The dawn of Video Data Analysis References Index 243 * 243 244 246 247 249 251 295
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. 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.
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| adam_txt |
CONTENTS List ofFigures About the Authors Acknowledgements Discover Your Online Resources PARTI NOVEL OPPORTUNITIES 1 2 Introduction - The Rise of Video Data in Social Science Research ix xi xiii xv 1 3 1.1 A new era 1.2 Novel opportunities 1.2.1 Two technological innovations 1.2.2 Analyzing the social 1.3 About this book 1.3.1 Aims of this book 1.3.2 What is to come What to read next Activities 3 5 6 10 14 14 16 20 22 Video Data Analysis - A Multi-disciplinary Framework 25 2.1 What is Video Data Analysis? 2.1.1 VDA studies situational driving dynamics of social processes and events 2.1.2 VDA studies real-life situational dynamics 2.1.3 VDA analyzes ready-made and custom-made videos 2.1.4 VDA focuses on video content 2.1.5 VDA is multi-disciplinary 2.2 What makes video data unique? 2.2.1 Detailed 2.2.2 Rewatchable 2.2.3 Crowd-sourced 2.3 What are the limitations of video data and VDA? 2.3.1 Situation-bound 2.3.2 The curse of detail 2.3.3 Research ethics 25 27 29 30 32 34 35 35 37 38 39 39 41 42
VIDEO DATA ANALYSIS What to read next Activities 43 46 PART II CONDUCTING VIDEO DATA ANALYSIS 3 4 Step 1 - Theoretical Perspectives, Object of Analysis, and Analytical Lens 51 3.1 Introduction 3.2 Choosing the theoretical perspective 3.2.1 Macro-micro links 3.2.2 Situational dynamics as phenomena in their own right 3.2.3 Micro-macro links 3.3 Reflecting on the object of study 3.3.1 What iá your case a case of? 3.3.2 Type of explanandum 3.3.3 Unit of analysis 3.4 Selecting facets of analytical dimensions 3.4.1 Face and body 3.4.2 Actions and interactions 3.4.3 Context What to read next Activities 51 55 58 59 61 62 63 64 65 66 66 69 72 74 75 Step 2 - Ethical Considerations 77 4.1 Introduction 4.2 What are research ethics? 4.3 Research ethics and Video Data Analysis 4.3.1 Informed consent 4.3.2 Privacy 4.3.3 Unique opportunities 4.3.4 Assessing risk and minimizing potential harm 4.3.5 Transparency 4.4 Assessing a VDA study from an ethical standpoint 4.4.1 Decisions in the face of uncertainty 4.4.2 Applying the heuristic What to read next Activities 5 49 ։ 77 79 81 82 85 89 92 96 99 100 101 104 106 Step 3 - Data Collection and Management 111 5.1 Introduction 5.2 Case selection and validity in VDA 5.2.1 How many cases/observations do I need? 111 112 112 5.2.2 Validity in VDA 116 vl
CONTENTS 6 7 5.3 Collecting custom-made data 5.3.1 Strengths and opportunities of custom-made data 5.3.2 Limitations and pitfalls of custom-made video data 5.3.3 Practical considerations 5.4 Collecting ready-made data 5.4.1 Strengths and opportunities of ready-made data 5.4.2 Limitations and pitfalls of ready-made data 5.4.3 Practical considerations 5.5 Triangulation 5.6 Data management 5.6.1 Keeping data safe: Data storage 5.6.2 Making data easy to use: Documenting data What to read next Activities 118 120 121 122 126 127 128 130 133 135 135 136 137 141 Step 4 - Analyzing Video Data 145 6.1 Introduction 6.2 Coding and concepts 6.2.1 Constructing concepts 6.2.2 Creating a coding scheme 6.2.3 Applying your coding scheme to your videos 6.2.4 Coding challenges, teams, and experts 6.3 Timing and sequence 6.4 Counts and quantifications 6.5 Rhythm and turn-taking 6.6 Studying actors 6.7 Social relations and networks 6.8 Spacing 6.9 Additional analytical tools What to read next Activities 145 148 150 151 154 159 161 168 171 172 174 175 177 178 182 Step 5 - Presentation of Findings 185 7.1 Introduction 7.2 How was the presented data collected? 7.2.1 Custom-made videos 7.2.2 Ready-made videos 7.3 Where do you present your VDA findings? 7.3.1 Print 7.3.2 Oral presentations 185 186 187 189 191 191 196 vii
VIDEO DATA ANALYSIS 7.3.3 Interactive presentations What to read next Activities 200 205 207 PARTIU FUTURE DEVELOPMENTS IN VDA 209 8 Video Data Analysis and Computer Vision 211 8.1 Introduction 8.2 Computer vision in a nutshell 8.2.1 How to get access to CV tools? 8.2.2 How does CV work? 8.2.3 Evaluating and improving CV algorithms 8.3 How can computer vision help VDA? 8.3.1 Studying face and body through CV 8.3.2 Studying actions and interactions through CV 8.3.3 Studying context through CV 8.4 What are main challenges? 8.4.1 Racial and gender bias 8.4.2 Challenges to model performance 8.4.3 Labeling data sets 8.4.4 Ethics What to read next Activities 211 213 214 216 219 220 220 222 229 232 232 233 234 235 237 240 Conclusion: The Future of Video Data in Social Science Research 9.1 Looking ahead 9.1.1 Exploring the micro level of theory and practice 9.1.2 Open questions in research ethics 9.1.3 Potentials of software automation 9.2 The dawn of Video Data Analysis References Index 243 * 243 244 246 247 249 251 295
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. 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. |
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| spelling | Nassauer, Anne 1982- Verfasser (DE-588)1035067978 aut Video data analysis how to use 21st century video in the social sciences Anne Nassauer, Nicolas M. Legewie Los Angeles ; London ; New Dehli ; Singapore ; Washington DC ; Melbourne SAGE [2022] xvi, 302 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Interpretative Sozialforschung (DE-588)4637634-3 gnd rswk-swf Videoaufzeichnung (DE-588)4188222-2 gnd rswk-swf Datenauswertung (DE-588)4131193-0 gnd rswk-swf Videoaufzeichnung (DE-588)4188222-2 s Datenauswertung (DE-588)4131193-0 s Interpretative Sozialforschung (DE-588)4637634-3 s DE-604 Legewie, Nicolas 1985- Verfasser (DE-588)1075912725 aut Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033630008&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033630008&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Nassauer, Anne 1982- Legewie, Nicolas 1985- Video data analysis how to use 21st century video in the social sciences Interpretative Sozialforschung (DE-588)4637634-3 gnd Videoaufzeichnung (DE-588)4188222-2 gnd Datenauswertung (DE-588)4131193-0 gnd |
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| title | Video data analysis how to use 21st century video in the social sciences |
| title_auth | Video data analysis how to use 21st century video in the social sciences |
| title_exact_search | Video data analysis how to use 21st century video in the social sciences |
| title_exact_search_txtP | Video data analysis how to use 21st century video in the social sciences |
| title_full | Video data analysis how to use 21st century video in the social sciences Anne Nassauer, Nicolas M. Legewie |
| title_fullStr | Video data analysis how to use 21st century video in the social sciences Anne Nassauer, Nicolas M. Legewie |
| title_full_unstemmed | Video data analysis how to use 21st century video in the social sciences Anne Nassauer, Nicolas M. Legewie |
| title_short | Video data analysis |
| title_sort | video data analysis how to use 21st century video in the social sciences |
| title_sub | how to use 21st century video in the social sciences |
| topic | Interpretative Sozialforschung (DE-588)4637634-3 gnd Videoaufzeichnung (DE-588)4188222-2 gnd Datenauswertung (DE-588)4131193-0 gnd |
| topic_facet | Interpretative Sozialforschung Videoaufzeichnung Datenauswertung |
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