12 Piece Dinner Forks, 8 Inch, Top Food Grade Extra-Fine Stainless Steel Silverware Forks,Silverware Set, Dishwasher Safe (Black)

12 Piece Dinner Forks, 8 Inch, Top Food Grade Extra-Fine Stainless Steel Silverware Forks,Silverware Set, Dishwasher Safe (Black)

ASIN: B0CSYFRG62
Analysis Date: Oct 30, 2025 (re-analyzed Oct 30, 2025)

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Review Analysis Results

D
Authenticity Grade
42.00%
Fake Reviews
4.87
Original Rating
3.80
Adjusted Rating

Analysis Summary

Analysis reveals moderate concerns about review authenticity. While many reviews appear genuine, several patterns raise suspicion: 1) High verification rate (10/15 verified purchases) with overwhelmingly positive ratings (14/15 are 4-5 stars), 2) Repetitive language patterns and marketing-style phrasing in multiple reviews, 3) Duplicate review content (review #1 and #10 are identical), 4) Several reviews use overly promotional language that reads like product descriptions rather than personal experiences. However, the presence of some detailed, balanced reviews with specific usage scenarios and minor criticisms provides counterbalance. The product appears to be legitimate but likely has some incentivized or artificial reviews mixed with genuine customer feedback.

Review Statistics

284
Total Reviews on Amazon
-1.07
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade D mean?

This product has significant review authenticity issues. Many reviews show patterns consistent with fake or incentivized reviews. Exercise caution.

Adjusted Rating Explained

The adjusted rating (3.80 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 (4.87 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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