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Analysing meme collections with the computer vision network approach.
- Format:
- Video
- Language:
- English
- Subjects (All):
- Memes.
- Computer vision.
- Physical Description:
- 1 online resource (1 video file (00:22:27)) : sound, colour
- Place of Publication:
- London : SAGE Publications, Ltd., 2023.
- Language Note:
- Closed-captions in English.
- System Details:
- video file
- Summary:
- Richard Rogers, PhD, professor, media studies, University of Amsterdam, and Janna Joceli Omena, teaching fellow, University of Warwick, discuss analyzing meme collections with the computer vision network approach, including seven steps for network building and interpretation, key findings, and methodological challenges.
- Contents:
- Chapter 1: Richard Rogers and Janna Joceli Omena Introduce the Computer Vision Network Approach to Analyze Meme Collectionsicon angle down
- Chapter 2: Janna Joceli Omena Discusses the First Steps in Network Building and Analysisicon angle down
- Chapter 3: Janna Joceli Omena Discusses Additional Steps for Network Building and Interpretationicon angle down
- Chapter 4: Janna Joceli Omena Shares Key Findings for Analyzing Meme Collections Using the Computer Vision Network Approachicon angle down
- Chapter 5: Richard Rogers Discusses the Facebook Shadow and Shares Methodological Challenges Analyzing Meme Collections Using the Computer Vision Network Approach.
- Participant:
- Academic, Richard Rogers PhD ; Academic, Janna Joceli Omena PhD.
- Notes:
- Includes bibliographical references and index.
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 1-5296-2775-3
- 9781529627756
- OCLC:
- 1367880003
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