Scarlet Darkness Renaissance Costume Women Medieval Corset Dress Puff Sleeve Fairy Dress

Scarlet Darkness Renaissance Costume Women Medieval Corset Dress Puff Sleeve Fairy Dress

ASIN: B0D6YN4HG5
Analysis Date: Sep 30, 2025 (re-analyzed Sep 30, 2025)

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Review Analysis Results

C
Authenticity Grade
35.00%
Fake Reviews
4.80
Original Rating
4.00
Adjusted Rating

Analysis Summary

The review set shows moderate signs of inauthenticity with several concerning patterns. While many reviews contain specific sizing details that appear genuine, there are notable red flags: 1) Extremely high 5-star rating concentration (12 of 14 reviews are 5-star, 2 are 4-star) with no critical feedback, 2) Multiple duplicate reviews appearing twice in the dataset (R3MEZYLXYWJUFY, R2WO8AL0H5DJLA, RW5CVMQ3X8N8U, R3EINW959V5HBJ, R2YXEB7B7WVSPH), 3) Several reviews use nearly identical phrasing about 'Scarlet Darkness' brand loyalty and 'quality for price' language, 4) Multiple reviews cut off mid-sentence suggesting copy-paste errors. However, the detailed sizing information (height, weight, specific measurements) and varied writing styles provide some authenticity markers. The 35% fake percentage reflects that while many reviews may be genuine, the duplicates and suspicious patterns indicate likely manipulation.

Review Statistics

247
Total Reviews on Amazon
-0.80
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 (4.80 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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