Code Room
On-callMediumoc-g368
Subject Abuse trafficLevel Mid–Senior~35 minCommon in ML systems · Algorithms & data structures interviewsIndustries Software development, Technology

Question

A seller's listing rockets up your marketplace ranking after a wave of 5-star reviews. Each review is individually plausible (different accounts, varied text, real-looking purchase history) and none trips your spam-text filter. But trust & safety suspects a paid review ring. The accounts reviewing this seller also co-review a small cluster of other sellers, were created in batches, and share subtle linkage (similar email patterns, overlapping IPs at signup, reviews posted in tight time windows). Volume is low — only ~300 reviews — so no rate alarm fired. How do you triage, confirm manipulation, contain it fairly, and harden ranking against it?

What a strong answer looks like

Stop the bleeding first (mitigate), then form hypotheses from real signals. Separate root cause from symptom, communicate status as you go, and close with what prevents a repeat.

Diagram & narrate the incident
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Run or narrate your approach, then ask the coach.