FOCUSLINE 360 Count Clear Plastic Silverware, 120 Forks, Knives and Spoons Each, BPA-Free, Heavy Duty Disposable Cutlery Set, Premium Disposable Flatware Plastic Utensils for Party Everyday Use

FOCUSLINE 360 Count Clear Plastic Silverware, 120 Forks, Knives and Spoons Each, BPA-Free, Heavy Duty Disposable Cutlery Set, Premium Disposable Flatware Plastic Utensils for Party Everyday Use

ASIN: B0DFGQZ8Z8
Analysis Date: Oct 30, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.88
Original Rating
4.20
Adjusted Rating

Analysis Summary

The review set shows moderate authenticity concerns with a 28% estimated fake percentage. Analysis reveals: 1) All 8 reviews are verified purchases (V), which adds credibility. 2) Strong positive bias with 7/8 reviews being 5-star and only one 4-star, creating an unnatural rating distribution. 3) Several reviews contain suspiciously generic, repetitive language focusing on 'sturdy,' 'durable,' and 'good value' without specific details. 4) Multiple reviews use similar phrasing patterns and lack personal experiences. 5) However, the presence of some detailed, specific content (like the cardboard divider mention) and the verified purchase status prevents a higher fake percentage assessment.

Review Statistics

381
Total Reviews on Amazon
-0.68
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 (4.88 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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