Crocs Women's Brooklyn Buckle Low Wedges

Crocs Women's Brooklyn Buckle Low Wedges

ASIN: B0C53S6Y1S
Analysis Date: Oct 30, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.60
Original Rating
4.00
Adjusted Rating

Analysis Summary

The reviews show a mixed authenticity profile. On the positive side, there's good variety in review length and content, with specific details about fit, comfort, and sizing that suggest genuine user experiences. The presence of a 1-star review (review #14) and several 4-star reviews adds credibility to the rating distribution. However, concerning patterns include: 1) Extremely high 5-star concentration (13/15 reviews are 5-star), 2) Several reviews with repetitive, generic language lacking specific details (reviews #2, #6, #9), 3) One review with broken English and minimal content (review #10), 4) One duplicate review (review #4 and #15 are identical), and 5) Several reviews using nearly identical phrasing about 'adjustable' and 'comfortable' features. The duplicate review is particularly suspicious and suggests potential manipulation, though the overall content diversity and presence of critical feedback prevent a higher fake percentage assessment.

Review Statistics

3,491
Total Reviews on Amazon
-0.60
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 (4.00 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 (4.60 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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