Targeted Ads and/as Racial Discrimination: Exploring Trends in New York City Ads for College Scholarships
Ho-Chun Herbert Chang, Matt Bui, and Charlton McIlwain

TL;DR
This study investigates how targeted online advertisements for college scholarships in New York City may perpetuate racial discrimination, highlighting systemic biases and proposing new auditing frameworks for transparency.
Contribution
It provides a case study linking targeted ads to racial discrimination, with data visualizations and novel frameworks for auditing opaque advertising systems.
Findings
Targeted ads disproportionately reach certain racial groups.
Systemic biases in digital advertising contribute to discrimination.
Proposed new methods for auditing ad targeting transparency.
Abstract
This paper uses and recycles data from a third-party digital marketing firm, to explore how targeted ads contribute to larger systems of racial discrimination. Focusing on a case study of targeted ads for educational searches in New York City, it discusses data visualizations and mappings of trends in the advertisements' targeted populations alongside U.S census data corresponding to these target zipcodes. We summarize and reflect on the results to consider how internet platforms systemically and differentially target advertising messages to users based on race; the tangible harms and risks that result from an internet traffic system designed to discriminate; and finally, novel approaches and frameworks for further auditing systems amid opaque, black-boxed processes forestalling transparency and accountability.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsHate Speech and Cyberbullying Detection · Media Influence and Politics · Social Media and Politics
