Facebook Political Ad Delivery Algorithms Inferred Users' Political Alignment, Inhibiting Political Campaigns' Reach

July 10, 2019

Facebook's political ad delivery system, under scrutiny, reportedly varied the cost of user reach based on inferred political leanings. This practice has been alleged to limit political campaigns' ability to engage voters across diverse political spectrums, potentially exacerbating political polarization and forming informational filter bubbles.

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MAP 1.6 — similarity 0.629, rank 1. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.605, rank 2. TAIM detail and related incidents →
MAP 4.1 — similarity 0.600, rank 3. TAIM detail and related incidents →

Alleged deployer: facebook
Alleged developer: facebook
Alleged harmed parties: political-campaigns, facebook-users

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/522

Data source

Incident data is from the AI Incident Database (AIID).

When citing the database as a whole, please use:

McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.

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