Cereal Bowls, 24 oz Soup Bowls Set of 4, Ceramic Bowls Set for Salad, Fruit, Breakfast, Dessert, Stoneware Bowls for Kitchen, Dishwasher & Microwave Safe, Matte Black

Cereal Bowls, 24 oz Soup Bowls Set of 4, Ceramic Bowls Set for Salad, Fruit, Breakfast, Dessert, Stoneware Bowls for Kitchen, Dishwasher & Microwave Safe, Matte Black

ASIN: B0CTMKCVLP
Analysis Date: Oct 30, 2025 (re-analyzed Oct 30, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.53
Original Rating
3.90
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive indicators include: natural language variation, specific product complaints (color discrepancies, scratching issues), and reasonable rating distribution (5★=69%, 4★=19%, 3★=12%). However, concerning patterns include: high proportion of verified purchases (62%), several overly enthusiastic 5-star reviews with generic praise, and some reviews that read like marketing copy. The verified purchase rate is moderately high for Amazon, and while many reviews show authentic detail, there are enough formulaic positive reviews to suggest some artificial boosting. The moderate score reflects that while there are likely some inauthentic reviews, many appear genuine with specific usage details and legitimate criticisms.

Review Statistics

112
Total Reviews on Amazon
-0.63
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade C mean?

This product has moderate review authenticity concerns. A notable portion of reviews show suspicious patterns. Consider reading reviews carefully before purchasing.

Adjusted Rating Explained

The adjusted rating (3.90 stars) represents what we estimate this product's rating would be if fake reviews were removed. This product's adjusted rating is lower than Amazon's displayed rating (4.53 stars), suggesting positive fake reviews may be inflating the score.

How We Detect Fake Reviews

Our AI analyzes multiple factors: language patterns (generic vs. specific), reviewer behavior (history, timing), temporal anomalies (review clusters), verification status, sentiment authenticity, and statistical outliers. No single factor determines a review is fake - we look at the combination of signals.

Important Limitations

No automated system is perfect. Sophisticated fake reviews can evade detection, and some genuine reviews may be incorrectly flagged. Use this analysis as one data point in your purchasing decision, not the only factor. Reading actual review content yourself is always valuable.

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