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Grant Award View - GA68554-V3

Combating Fake News on Social Media: From Early Detection to...

Contact Details

ARC NCGP General Enquiries

:
02 6287 6600

:

GA ID:
GA68554-V3
Agency:
Australian Research Council
Approval Date:
19-Dec-2019
Variation Publish Date:
20-Oct-2021
Variation Date:
12-Oct-2021
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
1-Sep-2020 to 31-Aug-2023
Value (AUD):
$420,000.00 (GST inclusive where applicable)
Varies:
GA68554 - Combating Fake News on Social Media: From Early Detection to Intervention

One-off/Ad hoc:
No
Aggregate Grant Award:
No

PBS Program Name:
ARC 19/20 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Combating Fake News on Social Media: From Early Detection to Intervention
Purpose:
The project aims to detect fake news early to minimise the negative impact of false information. This project expects to devise novel solutions to address technical challenges for detection of fake news with scarce signals. Expected outcomes of this project include a suite of data mining and machine learning models for identification of fake news from the social media stream, prediction of user propagation of false information as well as recommendation of truthful news to counteract adversarial fake news. This project should generate technologies that enhance the integrity of the online echo system and benefit media providers and online population within Australia and across the world.

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:
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

Contact Details

ARC NCGP General Enquiries

:
02 6287 6600

: