Demitasse Espresso Spoons,12-piece Mini Coffee Tiny Stainless Steel Spoons Bistro Small Spoons for Dessert, Tea, Appetizer(4.7Inch)…

Demitasse Espresso Spoons,12-piece Mini Coffee Tiny Stainless Steel Spoons Bistro Small Spoons for Dessert, Tea, Appetizer(4.7Inch)…

ASIN: B075SW9F5P
Analysis Date: Oct 30, 2025 (re-analyzed Oct 30, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.90
Original Rating
4.20
Adjusted Rating

Analysis Summary

The review set shows moderate concerns with 28% estimated fake reviews. Analysis reveals: 100% of reviews are verified purchases (10/10), which is unusually high but possible for a simple product. The rating distribution is heavily skewed with 90% 5-star and 10% 4-star ratings, lacking critical feedback. Several reviews show repetitive language patterns focusing on 'perfect size' and multiple uses. However, many reviews contain specific usage scenarios and reasonable detail for a simple product like spoons. The presence of one Spanish review and varied sentence structures provides some authenticity balance. The product appears to have genuine positive reception but likely includes some incentivized or overly enthusiastic reviews.

Review Statistics

1,772
Total Reviews on Amazon
-0.70
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 (4.20 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 (4.90 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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