Ecovita 100% Compostable Spoons - 500 Large Disposable Utensils (6.5 in.) Bulk Size Eco Friendly Durable and Heat Resistant Alternative to Plastic Spoons with Convenient Tray

Ecovita 100% Compostable Spoons - 500 Large Disposable Utensils (6.5 in.) Bulk Size Eco Friendly Durable and Heat Resistant Alternative to Plastic Spoons with Convenient Tray

ASIN: B07M9BQM6R
Analysis Date: Oct 30, 2025

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Review Analysis Results

D
Authenticity Grade
42.00%
Fake Reviews
5.00
Original Rating
4.00
Adjusted Rating

Analysis Summary

The review set shows moderate signs of inauthenticity with several concerning patterns. All 8 reviews are 5-star with no critical feedback, creating an unnatural perfect rating distribution. Multiple reviews contain generic, overly enthusiastic language without specific product details ('GREAT!', 'Awesome price!', 'Very sturdy super value'). Several reviews exhibit promotional language pushing environmental messaging rather than describing the product experience. The first review mentions damaged packaging and missing spoons but still gives 5 stars, which is inconsistent. However, the presence of one detailed review about shipping issues provides some authenticity balance. The high proportion of brief, generic positive reviews suggests potential review manipulation.

Review Statistics

98
Total Reviews on Amazon
-1.00
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 (4.00 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 (5.00 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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