On the Use of Proxies in Political Ad Targeting
October 18, 2024 Β· Declared Dead Β· π Proc. ACM Hum. Comput. Interact.
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Authors
Piotr Sapiezynski, Levi Kaplan, Alan Mislove, Aleksandra Korolova
arXiv ID
2410.14617
Category
cs.CY: Computers & Society
Cross-listed
cs.HC,
cs.SI
Citations
4
Venue
Proc. ACM Hum. Comput. Interact.
Last Checked
5 months ago
Abstract
Detailed targeting of advertisements has long been one of the core offerings of online platforms. Unfortunately, malicious advertisers have frequently abused such targeting features, with results that range from violating civil rights laws to driving division, polarization, and even social unrest. Platforms have often attempted to mitigate this behavior by removing targeting attributes deemed problematic, such as inferred political leaning, religion, or ethnicity. In this work, we examine the effectiveness of these mitigations by collecting data from political ads placed on Facebook in the lead up to the 2022 U.S. midterm elections. We show that major political advertisers circumvented these mitigations by targeting proxy attributes: seemingly innocuous targeting criteria that closely correspond to political and racial divides in American society. We introduce novel methods for directly measuring the skew of various targeting criteria to quantify their effectiveness as proxies, and then examine the scale at which those attributes are used. Our findings have crucial implications for the ongoing discussion on the regulation of political advertising and emphasize the urgency for increased transparency.
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