#Amazon’s search algorithm spreads vaccine disinformation, study finds

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“#Amazon’s search algorithm spreads vaccine disinformation, study finds”

Amazon’s reputation for spreading health misinformation has led critics to call it “a dystopian bookstore.”

Their concerns have escalated since COVID-19 unleashed a wave of anti-vaccination zealots.

According to a new study from the University of Washington, the world’s leading online retailer is amplifying the hysteria.

The researchers found that Amazon’s search algorithm promotes books endorsing false claims about vaccines over those that debunk them.

They also discovered a filter-bubble effect that leads users who engage with misinformative products to be recommended more of the same.

The study describes Amazon’s search results as “a marketplace of multifaceted health misinformation” and the platform’s recommendations as “problematic echo chambers.”

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The researchers first investigated the amount of misinformation returned by Amazon’s algorithms.

They tested a list of 48 search queries about 10 popular vaccine-related topics, such as “HPV vaccine” and “immunization,” without logging into the platform.

The results were then annotated as promoting, neutral, or debunking health misinformation.

They found that products promoting misinformation consistently outperformed those that debunk false claims.

Study authors Prerna Juneja and Tanu Mitra said over 10% of the results they received promoted misinformation health products.

An echo chamber effect

The researchers also examined whether Amazon pushes users to more misinformation after they’ve shown an interest in it.

They did this by performing typical user actions, such as clicking on an item.

They said this revealed evidence of a filter-bubble effect in Amazon’s recommendations:

Just a single click on an anti-vaccine book could fill your homepage with several other similar anti-vaccine books. And if you proceed to add that book [to] your cart, Amazon again presents more anti-vaccine books, nudging you to purchase even more problematic content.

The study authors describe this process as ” a problematic recommendation loop.”