Review manipulation games the rating systems people use as a proxy for quality — planting fake positive reviews, suppressing or gating genuine negatives, extorting businesses with threatened one-stars, or “brushing” (fake orders that unlock verified-purchase badges for fabricated reviews). Because aggregate ratings compress a crowd’s experience into a single trusted number, distorting that number is a direct lever on what people buy and avoid.
The play runs in two directions at once. Manipulators seed glowing reviews to lift their own average and, in the competitive version, coordinate negative reviews to drag a rival’s down. Meanwhile, honest negative feedback is diverted off-platform or buried, so the visible score drifts away from real customer experience. Shoppers reading the distorted aggregate act on it, completing the deception.
The distribution is where manipulation shows. Natural ratings spread across the stars; an all-five-star wall or a sharp U-shape (many fives, many ones, nothing between) suggests planting or suppression. Read the three-star and critical reviews first — they are the least gamed and the most specific — and prefer confirmed-buyer reviews over incentivized ones. Cross-check the same product across independent platforms, since manufactured scores rarely agree everywhere, and lean on reputable review-analysis tools that flag bursty timing, duplicated text, and suspicious reviewer histories.