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Amazon cannot guarantee that every review is genuine or every product is good. It does, however, have an ethical responsibility to make a serious effort to prevent review manipulation, explain what its trust signals mean, correct misleading listings and give people a fair way to challenge moderation mistakes. That responsibility matters to shoppers because reviews can shape what they buy—and what they spend.
Why fake reviews are more than a product problem
A low-cost purchase that turns out to be defective may seem like a small loss. The larger harm is relying on information that appeared independent and useful when deciding how to spend money. Reviews reduce the time and uncertainty involved in comparing products. They influence visibility and sales, so manipulation can steer purchases away from honest sellers as well as toward a poor product.
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That makes reviews part of the marketplace’s infrastructure. When their meaning becomes uncertain, shoppers may doubt not only star averages but also review counts, rankings and badges. The harm can be especially serious when a product is safety-related, such as a supplement, electrical device or child-related item; the financial cost of a bad decision is not always limited to its purchase price.
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“Fake review” covers several different forms of manipulation. Some involve invented opinions; others use real reviews in a misleading way. The distinction matters because a review can be written by a real customer and still give shoppers a false impression.
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Fabricated, bought and insider reviews
A review is clearly deceptive when it is presented as a genuine account but comes from someone who did not use the product, a fabricated identity, a paid reviewer posing as an ordinary customer, or an employee or other affiliated person whose relationship is not appropriately disclosed. The FTC rule addresses reviews that misrepresent whether a reviewer exists, used a product or had the experience described. The FTC’s announcement of the final rule explains the categories it covers.
Incentives are not all the same
An incentive does not automatically make a review fake. Asking customers for honest feedback is different from offering money, a refund, a discount or a free product only if they leave a positive—or negative—review. The FTC rule prohibits incentives conditioned on a particular sentiment. A reviewer’s relationship to a seller or brand can also affect how readers should interpret the opinion, which is why disclosure matters.
Suppression and selective solicitation
There is a difference between removing a review under a neutral policy and hiding criticism to make a product look better. A seller may pressure customers not to post, direct only satisfied customers to a review page, or filter out negative feedback. A company may also present a curated set as though it represents all or most submitted reviews. The FTC rule addresses certain forms of suppression and false claims about how representative displayed reviews are.
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Review hijacking and listing contamination
Review hijacking happens when ratings or reviews associated with one product are made to appear relevant to another. The reviews may be authentic; the deception is in how they are attributed. In an FTC case involving The Bountiful Company, reviews and ratings from established products appeared on Amazon product pages for newer supplements, creating an inflated impression of those products’ review histories. The company agreed to a $600,000 settlement; the FTC later announced more than $527,000 in refunds to consumers. The FTC case file and its final-order announcement describe the matter.
Reviews can also become misleading when a listing combines different sizes, versions or formulations, or when a product changes but its older review history remains prominent. A customer may receive a counterfeit or altered item while reading reviews written about the genuine product. In such cases the review itself may be sincere, but its connection to the item being sold is unreliable.
A genuine review can still describe a bad product
Poor quality is not proof of fake reviews. A product may disappoint despite authentic feedback because of batch differences, a redesign, varied expectations, reviews written soon after purchase, or customers’ different uses. A large number of positive reviews is not a guarantee that a product will work for every buyer.
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What the ethicist’s question adds
The original GeekWire essay by Robert Trumbull, PhD, asks what Amazon owes consumers when its marketplace relies on reviews that it cannot guarantee are reliable. Its Kantian framing distinguishes an action’s effect from its motive: removing deceptive reviews may help shoppers, but Amazon also has a commercial reason to protect confidence in its store. The essay makes that tension the ethical issue, rather than treating fake reviews as only a moderation failure.
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Self-interest does not prove that Amazon deliberately tolerates manipulation. It does create a governance risk. The company benefits from trust and repeat purchases, while also benefiting from selection, seller participation and frictionless shopping. Strong enforcement can protect shoppers and honest sellers, but it can also remove listings and make the scale of manipulation more visible. Opaque enforcement has its own cost: customers cannot tell whether a system is working, and sellers may have little recourse when a legitimate review or account is removed.
What Amazon says it does—and what the number cannot show
Amazon has said it blocked more than 250 million suspected fake reviews in 2023 and uses machine-learning systems, other automated tools and human investigators. That is an Amazon-reported figure for reviews it suspected and blocked, not an independently verified estimate of all fake reviews. It does not reveal how many suspicious reviews remained visible, how often legitimate reviews were wrongly blocked, or what share of total reviews the figure represents. The company’s claims are reported in the GeekWire account.
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The figure is evidence that Amazon describes substantial enforcement activity; it is not proof that the remaining review pool is clean or that every decision is accurate. Without more information about removals, appeals and errors, outsiders cannot fully assess the system’s performance.
What the FTC rule changes in the United States
The FTC’s Consumer Reviews and Testimonials Rule took effect on October 21, 2024. It prohibits specified deceptive conduct involving reviews and testimonials, including creating, buying, selling or disseminating certain fake or false reviews; conditioning compensation on positive or negative sentiment; certain undisclosed insider reviews; certain review suppression; and misrepresenting the independence of company-controlled review sites. The FTC’s rule Q&A explains its scope and effective date.
The rule is aimed primarily at deceptive business conduct. The FTC says brokers, advertising agencies, public-relations firms and reputation-management companies may also be liable when they create, sell or facilitate prohibited reviews. It does not establish that Amazon is legally liable for every inaccurate review on its marketplace. Legal responsibility depends on the conduct and the law that applies; the ethical question of how a powerful platform should govern its review system is broader.
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What responsible marketplace governance would require
Amazon is not simply a noticeboard. It designs product pages, aggregates and displays reviews, influences search and recommendations, sets seller rules and imposes penalties. The more control it has over these features, the stronger its responsibility to make their effects understandable and contestable.
- Reasonable prevention: Use sustained technical and human efforts to detect coordinated manipulation. Perfection is unrealistic, but enforcement should be serious and proportionate.
- Truthful signals: Explain what labels, badges, rankings and review counts establish—and what they do not. “Verified Purchase,” for example, should not be read as proof of honest judgment, product authenticity or a reviewer’s complete experience.
- Fair process: Set clear rules, apply them consistently, give meaningful explanations and appeals when reviews or accounts are removed, and protect legitimate criticism from retaliation.
- Review provenance: Make it easier to see which product, version and variation reviews describe, and disclose material changes in how reviews are grouped or displayed.
- Accountability: Publish aggregate information that helps consumers and sellers evaluate enforcement, such as removals, suspensions, appeals and outcomes, while protecting personal data and avoiding details that would help bad actors evade detection.
- Proportionate oversight: Consider independent review of enforcement quality. Public accountability can build confidence without implying that any platform can certify every review as genuine.
These duties involve trade-offs. Strict purchase verification may make manipulation harder but exclude genuine customers who received gifts or bought elsewhere. Automation can handle large volumes but can misclassify unusual writing or coordinated legitimate complaints. More transparency can aid accountability while revealing personal data or detection methods. Seller access matters, but not at the expense of shoppers being misled. The answer is not to assume that any single signal or enforcement system eliminates those tensions.
How shoppers can assess reviews without treating clues as proof
Consumers cannot reliably identify every fake review, and they should not have to conduct a forensic investigation before making an ordinary purchase. A few checks can help put a listing in context; none is conclusive on its own.
- Look at review timing. A sudden burst, especially around a launch, deserves a closer look but does not prove manipulation.
- Read for specific details about use, setup, fit, durability and limitations. Repeated wording or vague praise may be a warning sign, not a verdict.
- Check the spread of ratings and the content of lower-rated reviews for recurring problems, including safety concerns.
- Confirm that reviews describe the exact size, model, color, formulation or version being sold. Look for signs of a redesign or product change.
- Compare information from more than one independent source, including the manufacturer’s specifications, and check who is selling the item as well as who fulfills it.
- Treat a “Verified Purchase” label as a limited purchase-related signal, not proof that the reviewer’s experience, product or opinion is independently verified. Do not rely on a high star average, large review count, “Amazon’s Choice,” “Best Seller” label, storefront or single review-analysis score as a guarantee.
The FTC’s consumer guidance recommends consulting multiple sources, checking review timing and watching for bursts. It also advises reporting suspected fake reviews to the platform and the FTC.
How to document and report suspected manipulation
- Save the context: Keep screenshots of the review, listing, seller information and any apparent changes. Retain order details if you bought the product.
- Report it to Amazon: Use the reporting tools available on the review or listing to flag suspected manipulation.
- Report deceptive conduct to the FTC: Submit a report at ReportFraud.ftc.gov. A report does not itself establish wrongdoing, but it gives the agency information about possible patterns.
- Address the purchase separately: Use the retailer’s return or refund process for a defective or suspicious item. Contact the manufacturer if you need to check authenticity or whether the product changed.
- Escalate safety concerns: If the item presents a safety issue, report it through the appropriate government channel for that type of product.
The ethical standard is accountable stewardship, not perfection
Amazon has a business reason to maintain trust, and that reason can align with consumer protection. But alignment is not a substitute for accountability: shoppers cannot judge the quality of enforcement from a large company-reported removal figure alone. Amazon’s obligation is to make a good-faith effort to prevent manipulation, avoid misleading presentation, treat reviewers and sellers fairly, and provide enough transparency for the public to assess how its system works. The goal is not a guarantee that every review is true; it is a marketplace that takes the reliability of its signals seriously.
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