HANSGO Teaspoons Stainless Steel, 6 Piece Dinner Spoons Set 6.7 inches Dessert Spoons Use for Home, Kitchen or Restaurant

HANSGO Teaspoons Stainless Steel, 6 Piece Dinner Spoons Set 6.7 inches Dessert Spoons Use for Home, Kitchen or Restaurant

ASIN: B07YBVVYV3
Analysis Date: Oct 30, 2025 (re-analyzed Oct 30, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
3.60
Original Rating
3.10
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive aspects include: natural language variation, specific usage scenarios, and legitimate negative reviews with detailed complaints. Concerning patterns include: high 5-star concentration (8/15 reviews), some overly enthusiastic language, and a few reviews with questionable content. The 'V' verification badge appears consistently but doesn't guarantee authenticity. The presence of detailed negative reviews (including specific complaints about chipping, size issues, and discoloration) lends credibility to the overall review ecosystem. The moderate fake percentage reflects that while some reviews may be inauthentic, there's enough genuine content to suggest this isn't a heavily manipulated product.

Review Statistics

1,778
Total Reviews on Amazon
-0.50
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 (3.10 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 (3.60 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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