Detecting Fake Reviews using Behavioural Analytics & Network Science

Review fraud is considered illegal in the majority of territories. Fake or deceptive reviews violate the terms of service and guidelines for the platforms on which they are hosted and regulators around the world are now clamping down on this fraudulent practice.

In our paper you will learn:

About innovative new approaches to tackle fake reviews

Why a fake reviews detection solution focusing on user behaviour, and not reviews content, is yielding better results

Why relying on machine learning alone is inadequate
The role of pattern detection in surfacing the biggest threats

Trustpilot tackles fake reviews at scale

“Pasabi’s technology provides Trustpilot with the insight our legal, fraud and investigation teams need to strengthen existing capabilities, gather evidence against misbehaving companies and users, and drive our campaign against review sellers.

It is of the utmost importance to Trustpilot that our reputation for honest, accurate and trusted reviews remains protected. Deploying Pasabi’s technology to support our existing approach to manage this ongoing and growing challenge has been instrumental in delivering to consumers a clean, authentic and trusted user experience."

Anoop Joshi

VP, Legal & Platform Integrity

A Paper on Detecting Fake Reviews using Behavioural Analytics & Network Science

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Trustpilot tackles fake reviews at scale