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Advertising
We proactively detect and remove advertising content that violates our Ad Policies, which are designed to
maintain a high customer experience bar for ads on the store. We require all advertising content to comply
with all applicable laws, rules, and regulations; to be appropriate for a general audience, and honest about
the products or services that ad promotes. For example, we prohibit deceptive, misleading or oensive
ads, as well as certain sexual, violent or oensive content.
We invest heavily in people and technology to protect customers, brands, advertisers, and the EU store
from fraud and other forms of abuse. Amazon deploys a number of measures to ensure compliance
with our Ad Policies and detect infringing ads, including through automated moderation tools that
check millions of ads and their visible ad elements per day worldwide (including advertiser-supplied
images, product listing titles and images, and product descriptions). For example, we implement deny
lists on certain products that block all ads for customers who search for specic query terms e.g. “guns”.
Ad Policies also block specic listings for being viable for advertising. To complement our automated
measures, expert teams also conduct human reviews of ads to identify any potential non-compliance and
apply the learnings as feedback to continually improve our automated moderation tools.
Trustworthy reviews
Our moderation processes for community content include machine learning models that detect content
that violates our Community Guidelines and prevent it from being published. We strictly prohibit fake
reviews that intentionally mislead customers by providing information that is not impartial, authentic,
or intended for that product or service. We invest signicant resources to proactively stop fake reviews.
This includes machine learning models that detect risk, including relationships between accounts, sign-in
activity, review history, and other indications of unusual behaviour, as well as expert investigators that use
sophisticated fraud-detection tools to analyse and prevent fake reviews from ever appearing in our store.
Our machine learning models analyse millions of reviews each week using thousands of data points to
detect risk. The review ranking algorithm considers signals from Amazon’s fraud-detection tools related
to the authenticity of a review. When we strongly suspect that a review is inauthentic, we suppress the
review completely, so it is not displayed in the Amazon EU store.
Oensive and controversial products
Amazon prohibits the sale of products and books that promote, incite, or glorify hatred, violence, racial,
sexual, or religious discrimination or promote organisations with such views; contain pornography, glorify
rape or paedophilia or promote the abuse or sexual exploitation of children; or graphically portray violence
or victims of violence, and advocate terrorism; among other material deemed inappropriate or oensive.
We leverage machine learning and automation to lter listing submissions that we suspect of potential
policy violation, and then our content moderation teams manually review these suspect listings. We use
machine learning and manual review to lter potentially policy-violating listings.