Dinner Forks, Set of 6 Top Food Grade Stainless Steel Silverware Forks, Flatware Set,8 Inches, Mirror Finish & Dishwasher Safe, New Apartment Essentials Cutlery Set

Dinner Forks, Set of 6 Top Food Grade Stainless Steel Silverware Forks, Flatware Set,8 Inches, Mirror Finish & Dishwasher Safe, New Apartment Essentials Cutlery Set

ASIN: B08ZYCJH86
Analysis Date: Oct 30, 2025 (re-analyzed Oct 30, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.63
Original Rating
4.00
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. On the positive side, there's reasonable rating diversity (3-5 stars), varied review lengths, and some specific product details. However, concerning patterns include: multiple reviews with generic, repetitive praise lacking specific details; several reviews with grammatical errors and awkward phrasing; and a cluster of 5-star reviews using similar vague positive language about 'sturdy' and 'good value.' The single 3-star review provides more authentic-sounding criticism about the forks arriving flat, which adds credibility to the overall set. The moderate fake percentage reflects that while some reviews appear genuine, others show characteristics of low-effort or potentially incentivized reviews.

Review Statistics

1,147
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 (4.00 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 (4.63 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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