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Grant Award View - GA29232
Understanding algorithmic distribution in the Australian media industry
GA ID:
GA29232
Agency:
Australian Research Council
Approval Date:
27-Nov-2018
Publish Date:
18-Dec-2018
Category:
Humanities, Arts and Social Sciences (HASS) Research
Grant Term:
3-Jan-2019 to 19-Nov-2022
Original: 1-Jan-2019 to 31-Dec-2021
Value (AUD):
$406,716.00
(GST inclusive where applicable)
Variations:
- GA29232-V5 - Variation to Grant (11-Apr-2023 )
- GA29232-V4 - Variation to Grant (31-May-2022 )
- GA29232-V3 - Variation to Grant (14-Oct-2021 )
- GA29232-V2 - Variation to Grant (2-Aug-2021 )
- GA29232-V1 - Variation to Grant (21-Apr-2020 )
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 18/19 Discovery
Grant Program:
Discovery Early Career Researcher Award
Grant Activity:
Understanding algorithmic distribution in the Australian media industry
Purpose:
This project examines how the use of algorithms to distribute content on social media platforms is affecting the Australian media sector. It will investigate how media professionals work with algorithms, what sort of media content is prioritised on these platforms and whether these algorithms affect content diversity and competition. This project will significantly advance our understanding of how social media platforms function as media distributors and the role of algorithmic systems within the workplace. Findings will inform current policy debates around the role of major social media platforms in a transforming media sector.
GO ID:
GO Title:
Discovery Early Career Researcher Award commencing in 2019
Internal Reference ID:
DE19 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
RMIT University
Recipient ABN:
49 781 030 034
Grant Recipient Location
Suburb:
MELBOURNE
Town/City:
MELBOURNE
Postcode:
3000
State/Territory:
VIC
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
VIC
Postcode:
3000
Country:
AUSTRALIA