ETAOLINE Women's Low Rise Micro Back G-string Thong Panty Underwear

ETAOLINE Women's Low Rise Micro Back G-string Thong Panty Underwear

ASIN: B07G362GMG
Analysis Date: Sep 12, 2025 (re-analyzed Sep 12, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
1.48
Original Rating
1.30
Adjusted Rating

Analysis Summary

The reviews show a mixed pattern with some concerning elements but overall appear mostly legitimate. The product has a high proportion of 5-star reviews (60%) but also contains a significant number of 0-star reviews (40%), creating a polarized distribution that is unusual but not necessarily fake. Several reviews show authentic details about fit issues, sizing concerns, and specific product experiences. However, there are some suspicious patterns including repetitive short enthusiastic reviews ('So sexy and comfy', 'Super', 'Cute, fits well'), a few reviews that appear to be from secondary users (husbands buying for wives), and some generic praise without specific details. The presence of both very positive and very negative reviews with detailed experiences suggests a genuine product with quality variation rather than systematic fakery.

Review Statistics

7,896
Total Reviews on Amazon
-0.18
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 (1.30 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 (1.48 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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