KEAWELL Premium 4-Piece 7.6" Louis Hammered Salad Fork Set, 18/10 Stainless Steel, Squared Edge with Smooth Rounded Edges for Comfort, Dishwasher Safe (7.6" Salad Fork)

KEAWELL Premium 4-Piece 7.6" Louis Hammered Salad Fork Set, 18/10 Stainless Steel, Squared Edge with Smooth Rounded Edges for Comfort, Dishwasher Safe (7.6" Salad Fork)

ASIN: B0C78B6K2J
Analysis Date: Oct 30, 2025

As an Amazon Associate I earn from qualifying purchases.

Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.85
Original Rating
4.20
Adjusted Rating

Analysis Summary

The review set shows moderate authenticity concerns but falls within the range of legitimate products with some suspicious elements. Analysis reveals: 1) Extremely high positive bias with 12/13 reviews at 4-5 stars and only one 4-star review, creating an unnatural distribution; 2) Multiple reviews use nearly identical phrasing about 'putting old flatware to shame' and emphasizing 'heavy' construction; 3) Several reviews contain repetitive language and generic praise without specific usage details; 4) The single duplicate review (R11NEEMKQZ9C5 appears twice) raises minor concerns. However, most reviews contain reasonable detail about product features, and the 'U' (unverified) reviews show similar patterns to 'V' (verified) ones, suggesting consistency. The moderate score reflects these mixed signals rather than clear manipulation.

Review Statistics

206
Total Reviews on Amazon
-0.65
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 (4.85 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.

Share This Analysis

Learn More About Fake Reviews

Analyze new product