Fraud signals · Admin

Open signals

Investigating

Dismissed

Detectors enabled

of 7

highopenreview_burst

Serptide

14 reviews in 36 hours from a single referrer, 11 unverified

Detected Aug 26, 2026

While this signal is open

The affected evidence is held out of BetterScore. If the signal is dismissed, it is restored with its original timestamps and the score recalculates on the next pass.

mediumopencategory_spam

Linkyard

Applied to Marketing Analytics and SEO with no supporting fit votes

Detected Aug 24, 2026

While this signal is open

The affected evidence is held out of BetterScore. If the signal is dismissed, it is restored with its original timestamps and the score recalculates on the next pass.

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.