Incident 139: Amazon’s Search and Recommendation Algorithms Found by Auditors to Have Boosted Products That Contained Vaccine Misinformation

Description: 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.


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Alleged: Amazon developed and deployed an AI system, which harmed Amazon Customers.

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Sean McGregor, Khoa Lam
Auditing E-Commerce Platforms for Algorithmically Curated Vaccine Misinformation · 2021

Abstract: There is a growing concern that e-commerce platforms are amplifying vaccine-misinformation. To investigate, we conduct two-sets of algorithmic audits for vaccine misinformation on the search and recommendation algorithms of Amazon…

Amazon algorithms boost vaccine misinformation, says study · 2021

New York - Amid growing concern that e-commerce platforms are amplifying vaccine-misinformation, a new study by researchers at University of Washington has found that Amazon hosts a large number of misinformative products belonging to categ…


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