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Identifying Discriminatory Patterns in Online Advertising Data
25 November 2022 @ 5:00 pm - 6:30 pm AEDT
Free
Hacks/Hackers Brisbane will be hosting the winning team from the Tech for Good: ADM+S Dark Ads Hackathon to share their idea.
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.
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.
A rapidly expanding international grassroots journalism organisation with thousands of members across four continents. Their mission is to create a network of journalists (“hacks”) and technologists (“hackers”) who rethink the future of news and information.