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Analysing Meme Collections with the Computer Vision Network Approach

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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.

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Resources

References
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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