Abstract

Digital ads on social-media platforms play an important role in shaping access to economic opportunities. Our work proposes and implements a new third-party auditing method that can evaluate racial bias in the delivery of ads for education opportunities. Third-party auditing is important because it allows external parties to demonstrate presence or absence of bias in social-media algorithms. Education is a domain with legal protections against discrimination and concerns of racial-targeting, but bias induced by ad delivery algorithms has not been previously explored in this domain. Prior audits demonstrated discrimination in platforms’ delivery of ads to users for housing and employment ads. These audit findings supported legal action that prompted Meta to change their ad-delivery algorithms to reduce bias, but only in the domains of housing, employment, and credit. In this work, we propose a new methodology …

Metadata

publication

The 2024 ACM Conference on Fairness, Accountability, and Transparency, 2348-2361, 2024

year

2024

publication date

2024/6/3

authors

Basileal Imana, Aleksandra Korolova, John Heidemann

link

https://dl.acm.org/doi/abs/10.1145/3630106.3659041

resource_link

https://dl.acm.org/doi/pdf/10.1145/3630106.3659041

book

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency

pages

2348-2361