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BiasMedium

Amazon’s Search and Recommendation Algorithms Found by Auditors to Have Boosted Products That Contained Vaccine Misinformation

Occurred
Jan 21, 2021
Published
Jan 21, 2021
Source
AI Incident Database

Summary

Evidence of the "filter-bubble effect" were found by vaccine-misinformation researchers in Amazon's recommendations, where its algorithms presented users who performed actions on misinformative products with more misinfomative products.

Developers

  • Amazon

Deployers

  • Amazon

Harmed parties

  • Amazon customers

Classification

Category confidence: 85%
Severity confidence: 80%

Rationale: Algorithmic bias amplifying misinformation through recommendation systems constitutes a notable failure with public health implications.

Classifier: Qwen/Qwen3.5-35B-A3B-FP8

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