FOCUSLINE 300 Pack Disposable Silver Plastic Forks, Solid and Durable Plastic Cutlery Forks, Heavy Duty Disposable Utensil Silverware for Catering, Parties, Dinners, Weddings

FOCUSLINE 300 Pack Disposable Silver Plastic Forks, Solid and Durable Plastic Cutlery Forks, Heavy Duty Disposable Utensil Silverware for Catering, Parties, Dinners, Weddings

ASIN: B099X2FGC6
Analysis Date: Oct 30, 2025 (re-analyzed Oct 30, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.45
Original Rating
3.80
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive indicators include natural rating distribution (5, 4, 3, 2 stars), varied review lengths, and specific product mentions. However, concerning patterns include: 1) Duplicate review (R28TTXPC38AECB appears twice with identical text), 2) Several reviews use similar marketing language ('sturdy', 'elegant', 'great value') without detailed usage context, 3) Multiple reviews mention weddings/events which can attract incentivized reviews, 4) Some reviews are overly enthusiastic with repetitive positive adjectives. The verification badge ('V') provides some credibility, but the repetitive language patterns and duplicate content suggest some artificial boosting.

Review Statistics

791
Total Reviews on Amazon
-0.65
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 (3.80 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 (4.45 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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