Compostable Fork,100 Biodegradable Silverware for Party,Large Disposable Utensils Eco Friendly Durable and Heat Resistant,Alternative to Plastic Fork

Compostable Fork,100 Biodegradable Silverware for Party,Large Disposable Utensils Eco Friendly Durable and Heat Resistant,Alternative to Plastic Fork

ASIN: B09FLHGMTW
Analysis Date: Oct 30, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.91
Original Rating
4.20
Adjusted Rating

Analysis Summary

The reviews show a moderately suspicious pattern with several concerning elements balanced against some legitimate characteristics. The product has an extremely high 5-star concentration (90% 5-star, 10% 4-star) with no negative reviews, which is unusual for most products. Many reviews are very brief and repetitive, focusing on the same keywords ('sturdy,' 'strong,' 'eco-friendly,' 'biodegradable') with minimal detail. However, there are some redeeming factors: several reviews contain specific, plausible usage scenarios (work deck, wedding dessert station, teen compromise) and the 'U' (unverified) reviews show similar patterns to 'V' (verified) reviews, suggesting consistency. The lack of overly promotional language and presence of minor criticisms (price concerns) adds some authenticity. Overall, while there are suspicious patterns, they don't reach the level of clearly fake review campaigns.

Review Statistics

242
Total Reviews on Amazon
-0.71
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 (4.91 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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