Genuine Joe Heavy Weight Plastic Fork, Black, 1000 Count

Genuine Joe Heavy Weight Plastic Fork, Black, 1000 Count

ASIN: B01N7N2GPV
Analysis Date: Oct 30, 2025 (re-analyzed Oct 30, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
3.21
Original Rating
2.80
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive aspects include natural language variation, specific product complaints, and reasonable distribution of ratings (7 five-star, 1 four-star, 1 three-star, 3 two-star, 4 one-star). However, concerning patterns include: several reviews with 'V' verification but minimal content ('Great', 'Great buy for the money'), which could indicate incentivized reviews; some reviews mention 'media could not be loaded' suggesting potential fake review detection; and the stark contrast between extremely positive and extremely negative reviews without middle ground. The presence of detailed negative reviews about product quality, safety concerns, and packaging issues lends credibility to the overall review ecosystem, but the overly simplistic positive reviews raise suspicion.

Review Statistics

2,145
Total Reviews on Amazon
-0.41
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 (2.80 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 (3.21 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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