AI & Media
How many fake reviews are posted every day?
Fake reviews are ratings posted to mislead buyers. Businesses buy them to boost stars, or "review bomb" competitors. They come from review farms or AI. Amazon blocked 275M in 2024 alone; Google removed 240M. Capital One Shopping 2025: ~30% of all online reviews are fake, costing consumers $770.7B globally. In 2024 the FTC banned them outright. Every platform fights it: Google, Yelp, TripAdvisor, Trustpilot, app stores.
Roughly 16.6 reviews every second.
Source: Amazon Transparency Report 2023; Fakespot/Mozilla; FTC rulemaking record. AnythingCounter overview →
How fake reviews affect your everyday purchasing decisions
Most people read reviews before buying something online. Studies consistently find that 93% of consumers say online reviews influence their purchase decisions, and nearly 70% trust them as much as a personal recommendation. That trust has been systematically exploited.
Fakespot and Mozilla's analysis of Amazon product pages found that approximately 31% of reviewed products had ratings that were significantly inflated by fake reviews. That means when you filter for "4 stars and above," a substantial portion of what you see has been artificially elevated. You are paying real money based on fabricated social proof.
The industries worst affected are supplements, electronics accessories, beauty products, and budget clothing - exactly the categories where consumers most rely on reviews because they cannot inspect the product before buying. Knowing this, the practical advice is uncomfortable but accurate: if a product has 10,000 five-star reviews and no critical ones, be suspicious. Absence of negative feedback is itself a red flag.
The scale: nearly half a million fake reviews posted today alone
Amazon blocked or removed 275 million fake reviews in 2024 (Amazon Transparency Report 2025), up from 170M in 2023
Capital One Shopping ResearchGoogle removed 240 million reviews for policy violations in 2024, up 40% year-on-year (Capital One Shopping 2025)
Capital One Shopping ResearchCapital One Shopping 2025: ~30% of all online reviews are fake or ungenuine; consumer harm estimated at $770.7B globally in 2025
Capital One Shopping ResearchIn 2024, the FTC issued its first formal rule explicitly banning fake consumer reviews and insider testimonials (FTC rulemaking record, cited by Fakespot)
FakespotFakespot analysis: 31% of Amazon reviews may be unreliable
FakespotFake reviews influence an estimated $152 billion in annual US consumer spending, per FTC 2024 rulemaking record compiled by Fakespot
FakespotAI-generated fake reviews grew dramatically after 2022, becoming increasingly hard to detect
FakespotPlatform crackdowns and regulatory responses: a timeline
- 2014Amazon bans incentivised reviews for the first time following FTC warnings
- 2016Amazon sues over 1,000 individuals for allegedly posting fake reviews for payment
- 2019FTC begins formal rulemaking; Yelp, Trustpilot, Google all report massive fake review removal campaigns
- 2024FTC issues formal final rule banning fake consumer reviews, first explicit regulatory prohibition
Fake review volume: from a niche problem to a systemic one
Fake review volumes grew steadily through the 2010s and accelerated sharply from 2022, as AI language models made it trivial to generate convincing product reviews at industrial scale with minimal effort.
| Year | Rate | Est. per day | Context |
|---|---|---|---|
| 2021 | 23K/hr | 548K | AI-assisted fake review generation begins |
| 2024 | 60K/hr | 1M | FTC rule issued; first year with combined cross-platform detection data |
| 2027 (forecast) | 29K/hr | 685K | AI-generated reviews commoditised; detection arms race |
Fake reviews vs. fake news: two parallel crises of fabricated content
Fabricated content shapes both what people buy and what people believe. Fake reviews distort purchasing decisions; fake news distorts political and social views. Both are accelerating with AI.
Fake reviews: how the $152 billion opinion economy is being manipulated
A multi-billion-dollar manipulation industry
Review farms in Southeast Asia and Eastern Europe sell realistic-looking reviews. Merchants swap fake reviews. Incentivised programmes blur the line. AI now generates them at scale. Trust in online reviews has cratered. 93% of buyers check reviews first, so the tactic works, and it's eating away at what trust remains.
The AI inflection point
Before 2022, generating convincing fake reviews at scale required low-paid human labour, which created natural cost constraints. Generative AI removed that constraint. Models can now produce thousands of contextually appropriate, grammatically varied, stylistically diverse fake reviews per hour at near-zero cost. Detection algorithms from platforms like Amazon and Yelp are locked in an escalating arms race with ever-more-sophisticated generation tools. The FTC's 2024 rule creates a legal deterrent, but enforcement against actors in non-US jurisdictions is limited, and AI lowers the cost of evasion as quickly as platforms raise the cost of detection.
Detection research: how platforms and academics fight fake reviews
| Year | Finding | Value | Source |
|---|---|---|---|
| 2019 | FTC begins formal investigation into fake review practices; initial rulemaking process starts | regulatory milestone | Fakespot |
| 2021 | Amazon: 200M+ fake reviews removed in 2021; launches brand transparency tools | 200M fake reviews removed (Amazon, 2021) | Fakespot |
| 2023 | Amazon: 170M+ fake reviews removed; Fakespot finds 31% of reviews unreliable on the platform | 170M fake reviews removed (Amazon, 2023) | Fakespot |
| 2024 | Amazon: 275M fake reviews blocked; Google: 240M removed; Trustpilot: 4.5M; TripAdvisor: 2.7M — combined ~522M detected across major platforms in 2024 | 522M fake reviews removed across platforms (2024) | Capital One Shopping Research |
| 2024 | FTC issues formal rule banning fake reviews; AI-generated reviews increasingly prevalent | regulatory milestone | Fakespot |
In perspective
About 17 fake reviews are removed per second across major platforms – Amazon, Google, Trustpilot, TripAdvisor. That's the confirmed floor; actual creation runs higher.
If someone read every fake review Amazon and Google removed in 2024 at one per minute, non-stop, it would take nearly 1,000 years.
Amazon blocked 275M fake reviews in 2024 and Google 240M. Combined: more fake reviews than the combined population of the United States and Japan.
How the number is calculated
Amazon blocked or removed 275 million fake reviews in 2024 (Amazon Transparency Report 2025). Google removed 240 million reviews for policy violations in 2024, up 40% year-on-year. Trustpilot: 4.5M removed (7% of platform) in 2024. TripAdvisor: 2.7M in 2024. Combined from four platforms: ~522M detected/removed per year. 522,000,000 ÷ 8,760 hr ≈ 59,600/hr; ÷ 3,600 ≈ 16.6/sec. These are confirmed detected/removed reviews used as a proxy for creation volume. Actual fake reviews posted (including undetected) is higher: Capital One Shopping 2025 estimates platforms remove an average of 6.9% of reviews as suspicious, implying undetected fakes dwarf confirmed removals.
Sources: Fakespot - Fake Review Analysis - Capital One Shopping Research – Fake Review Statistics 2025/2026 (Amazon: 275M blocked in 2024; Google: 240M removed; ~30% of reviews fake globally; $770.7B consumer harm in 2025). Methodology →
Frequently asked questions
- How many fake reviews are posted per day?
- Estimates vary widely. Amazon reported removing 170+ million fake reviews in 2023 alone, implying approximately 465,000 per day on one platform. Including other platforms (Google, Yelp, Trustpilot, etc.), the global daily total is estimated in the millions.
- What percentage of reviews are fake?
- Studies and platform reports suggest 15-30% of reviews on major e-commerce and service platforms may be inauthentic. A 2023 Fakespot analysis found that 31% of Amazon reviews were unreliable. ReviewMeta estimated similar rates.
- What is the economic impact of fake reviews?
- The FTC estimates fake reviews influence over $152 billion in annual US consumer spending. Globally, the figure is much higher. Businesses pay millions for fake review campaigns; competitors suffer unfair disadvantage.
Why trust this data
The Amazon removal figure comes from Amazon's annual Transparency Report, published each April. Fakespot's independent analysis (acquired by Mozilla in 2023) provides the 31% unreliability rate for Amazon reviews. FTC data on the economic impact comes from the agency's 2024 rulemaking record, which drew on peer-reviewed economics research.
Sources
Fakespot - Fake Review Analysis - Capital One Shopping Research – Fake Review Statistics 2025/2026 (Amazon: 275M blocked in 2024; Google: 240M removed; ~30% of reviews fake globally; $770.7B consumer harm in 2025).
Explore related: Fake news shared - AI-generated news - Online scam victims, and the AnythingCounter data dashboard.