Research Grant
[Cite as https://purl.org/au-research/grants/arc/DP200100519]Researchers: Associate Professor Nicholas Carah (Chief Investigator) , Associate Professor Nicholas Carah (Chief Investigator) , Jean Burgess (Chief Investigator) , Professor Daniel Angus (Chief Investigator)
Brief description Using machine vision to explore Instagram’s everyday promotional cultures. 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.
Funding Amount $382,000
Funding Scheme Discovery Projects
- PURL : https://purl.org/au-research/grants/arc/DP200100519
- ARC : DP200100519