Identifying Discriminatory Patterns in Online Advertising Data
Details
This month we are teaming up with the ARC Centre of Excellence for Automated Decision Making & Society, to bring you the winning team from the recently held ADM+S Dark Ads Hackathon.
Held in Melbourne in late September, the hackathon brought together academics, government and consumer rights organisations to examine issues and propose solutions relating to online advertising. This follows recent examples of price discrimination, scam advertising and predatory targeting in online advertising spaces.
Time and place
We'll gather at ABC South Bank from 5pm for a 5:30pm start, then head across to The Charming Squire ~6:30pm for a post-talk discussion.
Talk details
Team: Dr Kelly Lewis, Grant Nicholas, Ross Pearson, Alec Sathiyamoorthy, Vikram Sondergaard, Mingqiu Wang, and Guangnan (Rio) Zhu.
Mentors: Dr Abdul Obeid and Xue Ying (Jane) Tan
The winning team used data gathered from the ADM+S Australian Ad Observatory dataset (500,000+ ads donated by 2000 Australian Facebook users) to examine WAIST (why am I seeing this?) data collected alongside statistical data associated with postcodes to identify discriminatory patterns such as proxy and price discrimination.
The team will discuss the tools they developed, patterns already found, and plans for future work and development of their idea.
The talk will be moderated by co-lead of the ADM+S Dark Ads project and hackathon, and fellow Hacks/Hackers member, Prof Daniel Angus.
Do you get our newsletter?
Just a reminder that you should sign up for the Hacks/Hackers Brisbane newsletter for extra links and post-event write ups to keep the discussion going.