Reputation Systems

Reputation systems are the ratings, reviews and feedback scores that platforms collect and display, so users can judge strangers by how they behaved in the past. They turn other people’s experience into a signal a newcomer can use.

Key factors

  • Rating inflation. Scores drift upwards because raters feel pressure to be kind. On one labour platform, more than half of a six-year rise in scores came from inflation rather than better work.
  • Consequences for the person rated. Private feedback stays more candid than public scores, because it cannot harm the person being rated.
  • Fake reviews. A bought review pays off fastest for high-margin products, and fakes cluster where detection and punishment are weak.
  • Early reviews. In one platform test, paying buyers to review new listings brought more reviews but no extra revenue.
  • Reviews and credentials. Buyers respond far more to reviews than to platform-checked licences, so badges add little once reviews exist.

Examples

Trustpilot. Trustpilot, the Danish review platform, publishes a yearly Trust Report. Its 2025 report said it removed 4.5 million fake reviews in 2024, about 7.4% of all reviews submitted, up from 6.1% the year before. About 90% were caught by automated tools. Since April 2025 UK law has also required review sites to take reasonable and proportionate steps to prevent and remove fake reviews.

Uber. Uber runs a two-sided system: riders rate drivers and drivers rate riders after each trip. A rider’s score is the average of their most recent 500 rated trips. In February 2022 Uber began showing riders how many ratings of each star level they had received, to explain the score and encourage better behaviour on trips. Because the score is public and has consequences, it faces the pressure behind rating inflation.

Frequently asked questions

What is the difference between reputation systems and platform curation?

Curation is the platform deciding who gets in and what is shown. Reputation systems let users judge each other through feedback once they are already on the platform.

Are star ratings or written reviews more useful?

Written reviews usually tell buyers more. Star averages drift upwards and bunch near the top, while the text keeps detail about what went well or badly.

Should both sides of a platform rate each other?

Often, because it holds both sides to account. Two-way ratings invite retaliation, though, so many platforms reveal both reviews only once each side has submitted, or after a deadline.

How can a new seller build a reputation from nothing?

Through small first orders, verified identity, guarantees that lower the buyer’s risk and polite follow-up requests for reviews. Paying for positive reviews breaks most platforms’ rules and, in many countries, the law.

Related concepts

Platform Trust
Platform Curation
Platform Matching