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Grant Award View - GA64844-V2
Using machine vision to explore Instagram’s everyday promotional...
GA ID:
GA64844-V2
Agency:
Australian Research Council
Approval Date:
4-Dec-2019
Variation Publish Date:
2-Aug-2021
Variation Date:
27-Jul-2021
Category:
Humanities, Arts and Social Sciences (HASS) Research
Grant Term:
30-Jun-2020 to 30-Jun-2023
Value (AUD):
$420,200.00
(GST inclusive where applicable)
Varies:
GA64844
- Using machine vision to explore Instagram’s everyday promotional cultures
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 19/20 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Using machine vision to explore Instagram’s everyday promotional cultures
Purpose:
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.
GO ID:
GO Title:
Discovery Projects for funding commencing in 2020
Internal Reference ID:
DP20 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
Queensland University of Technology
Recipient ABN:
83 791 724 622
Grant Recipient Location
Suburb:
BRISBANE CITY
Town/City:
BRISBANE CITY
Postcode:
4000
State/Territory:
QLD
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
QLD
Postcode:
4000
Country:
AUSTRALIA