Sage Research Methods: Doing Research Online - Analysing Meme Collections with the Computer Vision Network Approach

Name: Analysing Meme Collections with the Computer Vision Network Approach
Uploaded: 2023-01-30
Duration: 22 min 27 s
Description: Richard Rodgers, 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.

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Video Type: Tutorial

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  Rogers, R., & Omena, J. J. (Academics). (2023). Analysing meme collections with the computer vision network approach [Video]. Sage Research Methods. https://doi.org/10.4135/9781529627756
  
  Rogers, Richard, and Janna J. Omena. "Analysing Meme Collections with the Computer Vision Network Approach." In Sage Video. : SAGE Publications, Ltd., 2023. Video, 00:22:27. https://doi.org/10.4135/9781529627756.
  
  Rogers, R. and Omena, J. J., 2023. Analysing Meme Collections with the Computer Vision Network Approach, Sage Video. [Streaming Video] London: Sage Publications Ltd. Available at: <https://doi.org/10.4135/9781529627756 & gt; [Accessed 21 Mar 2023].
  
  Rogers, Richard and Janna J. Omena. Analysing Meme Collections with the Computer Vision Network Approach. Online video clip. SAGE Video. London: SAGE Publications, Ltd., 30 Jan 2023. doi: https://doi.org/10.4135/9781529627756. 21 Mar 2023.
  
  Analysing Meme Collections with the Computer Vision Network Approach [Streaming video]. 2023. doi:10.4135/9781529627756. Accessed 03/21/2023
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Summary
Chapters
Video Info
Supplementary material

Summary

Richard Rodgers, 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.

Chapter 1: Richard Rogers and Janna Joceli Omena Introduce the Computer Vision Network Approach to Analyze Meme Collections
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- Start time: 00:00:00
- End time: 00:02:28
Chapter 2: Janna Joceli Omena Discusses the First Steps in Network Building and Analysis
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- Start time: 00:02:29
- End time: 00:07:23
Chapter 3: Janna Joceli Omena Discusses Additional Steps for Network Building and Interpretation
icon angle down
- Start time: 00:07:24
- End time: 00:15:38
Chapter 4: Janna Joceli Omena Shares Key Findings for Analyzing Meme Collections Using the Computer Vision Network Approach
icon angle down
- Start time: 00:15:39
- End time: 00:20:33
Chapter 5: Richard Rogers Discusses the Facebook Shadow and Shares Methodological Challenges Analyzing Meme Collections Using the Computer Vision Network Approach
icon angle down
- Start time: 00:20:34
- End time: 00:22:27

Product: Sage Research Methods: Doing Research Online
Type of Content: Tutorial
Title: Analysing Meme Collections with the Computer Vision Network Approach
Publisher: SAGE Publications, Ltd.
- Publication year: 2023
- Online pub date: January 30, 2023
Discipline: Sociology, Technology, Computer Science
Methods: Internet research, Network visualization, Network analysis
Duration: 00:22:27
DOI: https://doi.org/10.4135/9781529627756
Keywords: computer vision, data analysis, data mining, digital media, Facebook, hermeneutic analysis, internet research, memes, network analysis, visual analysis, visual research
People
Academic: Richard Rogers
Academic: Janna Joceli Omena

Online ISBN:9781529627756

Copyright: © SAGE Publications Ltd., 2023

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More informationLess information

Tools
Tools icon close
- Download PDFopens in new window
- Cite
  
  Cite icon close
  
  Format APA
  
  Rogers, R., & Omena, J. J. (Academics). (2023). Analysing meme collections with the computer vision network approach [Video]. Sage Research Methods. https://doi.org/10.4135/9781529627756
  
  Rogers, Richard, and Janna J. Omena. "Analysing Meme Collections with the Computer Vision Network Approach." In Sage Video. : SAGE Publications, Ltd., 2023. Video, 00:22:27. https://doi.org/10.4135/9781529627756.
  
  Rogers, R. and Omena, J. J., 2023. Analysing Meme Collections with the Computer Vision Network Approach, Sage Video. [Streaming Video] London: Sage Publications Ltd. Available at: <https://doi.org/10.4135/9781529627756 & gt; [Accessed 21 Mar 2023].
  
  Rogers, Richard and Janna J. Omena. Analysing Meme Collections with the Computer Vision Network Approach. Online video clip. SAGE Video. London: SAGE Publications, Ltd., 30 Jan 2023. doi: https://doi.org/10.4135/9781529627756. 21 Mar 2023.
  
  Analysing Meme Collections with the Computer Vision Network Approach [Streaming video]. 2023. doi:10.4135/9781529627756. Accessed 03/21/2023
  copy to clipboard
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  Export to your reference manager Endnote
  
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Internet research

Discover method in the Methods Map

Resources

References

Lecture

Niederer, S.(2018).Networked images: Visual methodologies for the digital age. Hogeschool van Amsterdam,

Journal Article

Omena, J. J., Elena, P., Gobbo, B., & Jason, C.(2021).The Potentials of Google Vision API-based Networks to Study Natively Digital Images. Diseña, 19(1-1),

Chapter

Omena, J. J., & Amaral, I.(2019).Sistemas de leitura de redes digitais multiplatform. Métodos Digitais: Teoria-Prática-Crítica,

Journal Article

R., Rogers(2021).Visual media analysis for Instagram and other online platforms. Big Data & Society,

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Video Type: Tutorial

Transcript

Summary

Chapters

Video Info

Supplementary material

Chapter 1: Richard Rogers and Janna Joceli Omena Introduce the Computer Vision Network Approach to Analyze Meme Collections

Chapter 2: Janna Joceli Omena Discusses the First Steps in Network Building and Analysis

Chapter 3: Janna Joceli Omena Discusses Additional Steps for Network Building and Interpretation

Chapter 4: Janna Joceli Omena Shares Key Findings for Analyzing Meme Collections Using the Computer Vision Network Approach

Chapter 5: Richard Rogers Discusses the Facebook Shadow and Shares Methodological Challenges Analyzing Meme Collections Using the Computer Vision Network Approach

Resources

Resources

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Analysing Meme Collections with the Computer Vision Network Approach

Video Type: Tutorial

Transcript

Summary

Chapters

Video Info

Supplementary material

Chapter 1: Richard Rogers and Janna Joceli Omena Introduce the Computer Vision Network Approach to Analyze Meme Collections

Chapter 2: Janna Joceli Omena Discusses the First Steps in Network Building and Analysis

Chapter 3: Janna Joceli Omena Discusses Additional Steps for Network Building and Interpretation

Chapter 4: Janna Joceli Omena Shares Key Findings for Analyzing Meme Collections Using the Computer Vision Network Approach

Chapter 5: Richard Rogers Discusses the Facebook Shadow and Shares Methodological Challenges Analyzing Meme Collections Using the Computer Vision Network Approach

Discover method in the Methods Map

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