Baemin Introduces Preemptive System to Block 'Fake Reviews'

Detecting Falsehood the Moment the Submit Button Is Pressed

[Asia Economy Reporter Kim Cheol-hyun] Woowa Brothers, the operator of Baedal Minjok (hereinafter Baemin), announced on the 24th that it will introduce and operate a real-time monitoring system that automatically detects suspicious fake reviews in advance.

Previously, fake reviews created by false orders or reviews written by proxy agencies were only detected and blocked after being registered on the app. However, now the system determines the authenticity of a review in real time the moment the user presses the review submission button, and if suspicious, the review is not registered at all. To achieve this, the system analyzes and utilizes various data such as order records and usage status.

Reviews suspected of being fake or manipulated are temporarily restricted from being displayed immediately after submission, including both the content and star rating. Suspicious reviews undergo additional strict verification by dedicated personnel, who decide within 24 hours whether to publicly release or block the review. Baemin plans to continuously refine and enhance the real-time monitoring system to increase the detection rate of suspicious reviews and expand the dedicated verification team.

Baemin has been striving to establish a proper review culture by introducing AI-based review verification features last year. This year, it has implemented policies to strengthen review exposure methods and transparency, such as prohibiting review rewriting, applying processes to stop posting malicious reviews, and shortening the period during which reviews can be written. During a two-month intensive review monitoring conducted since August, about 25,000 fake reviews were blocked, and earlier in April, Baemin took strong actions against fake reviews by filing complaints with investigative agencies against review manipulation companies.

Lee Won-jae, Head of Service Risk Management at Woowa Brothers, said, "With this measure, we can detect fake reviews faster and fundamentally block their exposure. We will continue to improve the review environment so that both restaurants and customers can trust and rely on reviews, which are an important criterion when ordering food."

This content was produced with the assistance of AI translation services.