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Fake Review Detection

Harnessing behavioral patterns and AI, we empower platforms to detect and combat fake reviews and the fake accounts that drive them.

fake review detection
Challenges

Fake reviews tarnish a platform’s reputation, mislead consumers and influence billions in sales.

fake review detection

Insider consumer reviews

  • Businesses using family & friends to write fake positive reviews to boost their rating.
  • Employees being asked to write fake reviews to improve business ranking.
fake review detection

Paid boosting

  • Businesses incentivising customers to write positive reviews
  • Businesses buying fake reviews at scale from review brokers

fake review detection

Shady competitor tactics

  • Businesses writing fraudulent negative reviews to harm competitors
  • Businesses paying third parties to write negative fake reviews to tarnish competitors’ reputations
solutions

Make enforcement decisions with confidence

Our platform looks beyond the review content to understand patterns at the review, reviewer and business/seller level.

fake review detection

Beyond review content

Using machine learning and behavioral analysis, we look beyond review content and focus on patterns of account behavior to provide a complete view of suspicious review activity

fake review detection

Continual monitoring

With continual monitoring, we can identify patterns of bad behavior as they emerge, allowing you to take action before it’s too late

fake review detection

Review seller behavior

Identify patterns of behavior in your data to detect businesses suspected of buying fake reviews

fake review detection

Automation

With our flexible range of integrations, our insights can be incorporated into your teams’ workflows and existing systems, allowing you to enforce at scale.

benefits

Pasabi's fake review detection identifies businesses using review brokers

fake review detection
Leverage our platform and data to accurately identify fake reviews and associated accounts
fake review detection
Reduce manual effort with end-to-end automation
fake review detection
Enforce at scale and reduce whack-a-mole ineffectiveness
guide

How to Tackle Fake Reviews in a Generative AI World

Have you noticed an increase in fake reviews on your platform lately? Recent data suggests that up to 40% of online reviews could be fake. And generative AI tools are making it easier all the time for bad actors to scale this threat. Download our guide to learn how to combat this growing challenge.

How to Tackle Fake Reviews in a Generative AI World
Resources

Related knowledge

Fake Reviews: Why You Need to Act Now
Blog

Fake Reviews: Why You Need to Act Now

Fake reviews are detrimental to reputation, and with governments taking action against fake reviews, find out why you should act now.

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Are Fake Reviews Illegal? | FTC Fake Reviews
Blog

Are Fake Reviews Illegal?

Are fake reviews illegal? Governments around the world are taking action against the harmful effects of fake reviews. Here’s what you need to know.

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You Don’t Have a Fake Review Problem, You’ve Got a Fake Accounts Problem
Blog

You Don’t Have a Fake Review Problem, You’ve Got a Fake Accounts Problem

Whether you’re looking to crack down on fake reviews, scams or counterfeit, you’re ultimately talking about fake accounts.

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How to Spot Fake Reviews on Your Platform
Blog

How to Spot Fake Reviews on Your Platform

With the development of generative AI, fake reviews are on the rise. Learn how to spot fake reviews with Pasabi’s ultimate guide.

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Explore more fraud detection solutions

Fake account detection

Find the bad actors using fake accounts to defraud your users and exploit your reputation 

Counterfeit goods detection

Rid your platform of harmful and illegal fake goods to deliver a safer user experience 

Scam detection

Spot the key risk signals from scammers threatening your platform and users