Skip to Content
logologo
AI Incident Database
Open TwitterOpen RSS FeedOpen FacebookOpen LinkedInOpen GitHub
Open Menu
Discover
Submit
  • Welcome to the AIID
  • Discover Incidents
  • Spatial View
  • Table View
  • List view
  • Entities
  • Taxonomies
  • Submit Incident Reports
  • Submission Leaderboard
  • Blog
  • AI News Digest
  • Risk Checklists
  • Random Incident
  • Sign Up
Collapse
Discover
Submit
  • Welcome to the AIID
  • Discover Incidents
  • Spatial View
  • Table View
  • List view
  • Entities
  • Taxonomies
  • Submit Incident Reports
  • Submission Leaderboard
  • Blog
  • AI News Digest
  • Risk Checklists
  • Random Incident
  • Sign Up
Collapse

Report 1476

Associated Incidents

Incident 1392 Report
Amazon’s Search and Recommendation Algorithms Found by Auditors to Have Boosted Products That Contained Vaccine Misinformation

Loading...
Amazon algorithms boost vaccine misinformation, says study
iol.co.za · 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 categories such as books, ebooks, health, personal care and apparel. The results led to a dataset of 4,997 Amazon products annotated for health misinformation, said the study published at preprint repository arXiv.org.

For the study, Prerna Juneja and Tanushree Mitra, both from The Information School at the University of Washington, conducted two-sets of algorithmic audits for vaccine misinformation on the search and recommendation algorithms of Amazon. Their aim was to empirically determine the amount misinformation returned by its search and recommendation algorithm. They also investigated whether personalisation due to user history plays any role in amplifying misinformation.

So, they did a systematic audit search-results belonging to vaccine-related search-queries without logging into the platform -- unpersonalised audits. They found 10.47 per cent of search-results promote misinformative health products on the platform. "We found that search results returned for many vaccine-related queries contain large number of misinformative products leading to high misinformation bias," the researchers said.

Moreover, misinformative products are also ranked higher than debunking products, the results said. Next, they analysed the effects of personalisation due to account-history, where history is built progressively by performing various real-world user-actions, such as clicking a product. "Our study also suggests presence of a filter-bubble effect in recommendations, where users performing actions on misinformative products are presented with more misinformation in their homepages, product page recommendations and pre-purchase recommendations," the researchers said.

Read the Source

Research

  • Defining an “AI Incident”
  • Defining an “AI Incident Response”
  • Database Roadmap
  • Related Work
  • Download Complete Database

Project and Community

  • About
  • Contact and Follow
  • Apps and Summaries
  • Editor’s Guide

Incidents

  • All Incidents in List Form
  • Flagged Incidents
  • Submission Queue
  • Classifications View
  • Taxonomies

2024 - AI Incident Database

  • Terms of use
  • Privacy Policy
  • Open twitterOpen githubOpen rssOpen facebookOpen linkedin
  • e1b50cd