Explore the potential for discrimination in online targeted advertising through this conference talk from FAT* 2018. Delve into the intricacies of attribute-based targeting, ad exploitation, and sensitive attributes in platforms like Facebook. Examine data sources and lookalike audiences, and their implications for fairness in digital advertising. Gain insights from experts Till Speicher, Muhammad Ali, Giridhari Venkatadri, and others as they present their research on this critical topic. Understand the challenges and ethical considerations surrounding targeted advertising in the digital age, and learn about potential solutions to mitigate discriminatory practices in online platforms.
Potential for Discrimination in Online Targeted Advertising
Association for Computing Machinery (ACM) via YouTube
Overview
Syllabus
Introduction
Targeted Advertising
Facebook
Contributions
Background
Attribute Based Targeting
Ad Exploitation
Sensitive Attributes
Data sources
Lookalike audiences
Summary
Rachel Goodman
Michael Smexy
Kathy Pham
Outro
Taught by
ACM FAccT Conference
