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Using machine vision to explore Instagram's everyday promotional cultures (ARC Discovery Project administered by Queensland University of Technology) (2020–2024)

Abstract:
The advertising-driven business models of social media platforms increasingly depend on automation. The technologies used by platforms are rapidly advancing, and include `machine vision¿ systems that automatically classify faces, expressions, objects, and brand logos in images. The results are used to provide targeted content to users, often without their knowledge and without sufficient public oversight. Using a novel combination of computational and cultural research methods, this project aims to: examine how machine vision works in platforms like Instagram; explore its role in everyday visual contexts through qualitative case studies of festivals, food, and lifestyle sports; and improve public understanding of machine vision systems.
Grant type:
Queensland University of Technology
Researchers:

  • Associate Professor Nicholas Carah

    Director, Digital Cultures and Soci
    Faculty of Humanities, Arts and Social Sciences
    Associate Professor
    School of Communication and Arts
    Faculty of Humanities, Arts and Social Sciences
Funded by:
Queensland University of Technology