500 Count Clear Disposable Plastic Forks, Heavy Weight Disposable Forks Plastic Utensils for Parties, Picnics, Big Event, Daily Use

500 Count Clear Disposable Plastic Forks, Heavy Weight Disposable Forks Plastic Utensils for Parties, Picnics, Big Event, Daily Use

ASIN: B0F5Q21J44
Analysis Date: Oct 30, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.50
Original Rating
3.90
Adjusted Rating

Analysis Summary

The review set shows moderate authenticity concerns with a mix of genuine and potentially fake reviews. Analysis reveals: 1) Verification status distribution is reasonable with 7 verified (V) and 7 unverified (U) reviews, suggesting natural variation. 2) Rating distribution is heavily skewed toward 5-star reviews (11/14), which is common for Amazon but raises some suspicion. 3) Several reviews show repetitive language patterns focusing on 'sturdy,' 'durable,' and 'good price' with minimal product detail. 4) The presence of critical reviews (two 3-star reviews) adds credibility to the overall authenticity. 5) Some reviews contain overly enthusiastic language that appears manufactured, while others show natural writing with specific usage contexts. The moderate score reflects the combination of suspicious patterns balanced against the presence of authentic-seeming critical feedback.

Review Statistics

91
Total Reviews on Amazon
-0.60
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 (3.90 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 (4.50 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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