Fraud signals · Admin

Open signals

Investigating

Dismissed

Detectors enabled

of 7

lowdismissedvendor_authored

Queuely

Review submitted from an IP range matching the vendor's office

Detected Aug 11, 2026

Detectors

Detector	What it looks for	Threshold
Review burst	Unusual review volume from one referrer or inside a narrow time window.	10+ in 48h from one source
Duplicate identity	Multiple accounts sharing a device fingerprint, email pattern or IP range.	2+ accounts, same fingerprint
Vendor-authored	Reviews submitted from IP ranges belonging to the vendor.	Any match
Incentive language	Review text matching known incentivised-campaign phrasing.	Model confidence > 0.8
Category spam	A product applying to jobs with no supporting fit votes.	2+ rejected applications
Referral campaign anomaly	Invite links producing improbably uniform ratings.	Rating variance < 0.2
Rating inflation drift	A product's average moving faster than its review volume explains.	Not yet enabled

Automatic responses

Hold flagged evidence out of the scoreApplies while a signal is open, and reverses on dismissal.Suspend BetterBid on a high-severity signalBad-actor status blocks bidding until the signal is resolved.Notify the product ownerThey can see that a signal exists, but not the detection detail.Auto-remove on model confidence above 0.95Off by default — a human should make removal decisions.

Why signals do not act alone

Every detector here has a false-positive mode. A genuinely successful launch looks like a review burst; a company with an office VPN looks like a shared fingerprint; a niche product with three honest applications looks like category spam. Holding evidence pending review costs a product a few days of score movement. Removing it wrongly costs them a rank and costs us the claim that the ranking is earned.