YOUBET 50PCS Gold Plastic Forks - Heavy Duty Plastic Forks - Solid Durable Gold Disposable Silverware for Party Picnic Wedding and Daily Use & Thanksgiving

YOUBET 50PCS Gold Plastic Forks - Heavy Duty Plastic Forks - Solid Durable Gold Disposable Silverware for Party Picnic Wedding and Daily Use & Thanksgiving

ASIN: B0F24PJ151
Analysis Date: Oct 30, 2025

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Review Analysis Results

D
Authenticity Grade
42.00%
Fake Reviews
4.73
Original Rating
3.70
Adjusted Rating

Analysis Summary

The review set shows moderate signs of inauthenticity with several concerning patterns. While there are legitimate-sounding reviews with specific use cases (baby shower, wedding, office transition), the overall distribution is suspicious with 14 out of 16 reviews being 4-5 stars (87.5% positive). The 'V' (verified purchase) rate is 50% (8/16), which is reasonable, but the text patterns raise concerns. Multiple reviews use nearly identical phrasing about 'sturdiness' and 'elegant touch' with minimal variation. Several reviews read like marketing copy rather than genuine user experiences, with overly enthusiastic language and repetitive product feature descriptions. The timing and content suggest possible coordinated reviewing, though some authentic reviews provide balance with specific contextual details.

Review Statistics

137
Total Reviews on Amazon
-1.03
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 (3.70 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 (4.73 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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