5 Pairs Chopsticks Reusable Fiberglass Dishwasher Safe, 9.6 inch/24.3cm Matte Non-Slip Family/ Hotel/ Restaurant Japanese Chop Sticks, Christmas & Chinese New Year Gift, Dark Green

5 Pairs Chopsticks Reusable Fiberglass Dishwasher Safe, 9.6 inch/24.3cm Matte Non-Slip Family/ Hotel/ Restaurant Japanese Chop Sticks, Christmas & Chinese New Year Gift, Dark Green

ASIN: B0BKZG3LGS
Analysis Date: Oct 30, 2025

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Review Analysis Results

B
Authenticity Grade
18.00%
Fake Reviews
4.80
Original Rating
4.40
Adjusted Rating

Analysis Summary

The review set shows mostly authentic characteristics with some minor concerns. Positive indicators include: natural language variation across reviews, specific usage scenarios (Halloween costume, family dinners), mixed ratings (mostly 5-star but with some 4-star reviews), and detailed personal experiences. Concerns include: high proportion of verified purchases (all marked 'V'), predominantly 5-star ratings (12/15 reviews), and some generic positive language. However, the presence of critical feedback in review #6 (dishwasher damage) and review #14 (wished they were narrower) adds credibility. The German language reviews (#10 and #13) also suggest genuine international customers rather than coordinated fake reviews.

Review Statistics

683
Total Reviews on Amazon
-0.40
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 (4.80 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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