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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.

Experts

Professor Nicholas Carah

Affiliate of Centre of Architecture, Theory, Culture, and History
Centre of Architecture, Theory, Criticism and History
Faculty of Engineering, Architecture and Information Technology
Affiliate of Centre for Digital Cultures & Societies
Centre for Digital Cultures & Societies
Faculty of Humanities, Arts and Social Sciences
Centre Director of Centre for Digital Cultures & Societies
Centre for Digital Cultures & Societies
Faculty of Humanities, Arts and Social Sciences
Director of Centre for Digital Cultures and Societies
Faculty of Humanities, Arts and Social Sciences
Professor
School of Communication and Arts
Faculty of Humanities, Arts and Social Sciences
Nicholas Carah
Nicholas Carah