GreenWorks 200 Count Heavy-duty Compostable Forks, BPI Certified Large Disposable Cutlery Flatware Utensils Fork

GreenWorks 200 Count Heavy-duty Compostable Forks, BPI Certified Large Disposable Cutlery Flatware Utensils Fork

ASIN: B075W5KV8Q
Analysis Date: Oct 30, 2025

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Review Analysis Results

B
Authenticity Grade
18.00%
Fake Reviews
4.88
Original Rating
4.40
Adjusted Rating

Analysis Summary

The reviews show a moderately suspicious pattern with 100% verified purchase status and predominantly 5-star ratings (7 out of 8 reviews), which is unusually high for any product. However, the content shows reasonable variation in writing styles, specific use cases (wedding, office, food cart), and some balanced feedback mentioning both positives and minor negatives. The reviews contain authentic-sounding details like specific foods (Chicken Alfredo pasta), business contexts (geothermal power company), and realistic trade-offs (eco-friendly vs. sturdiness). The one 4-star review adds credibility with its detailed complaint about packaging changes. While the perfect verification rate and rating distribution raise mild concerns, the overall content quality and diversity suggest mostly genuine reviews with a small percentage potentially being inauthentic.

Review Statistics

215
Total Reviews on Amazon
-0.48
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade B mean?

This product has good review authenticity with minor concerns. While most reviews appear genuine, we detected some patterns that warrant mild caution.

Adjusted Rating Explained

The adjusted rating (4.40 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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