Island Hanging File Folder 1/5 Cut, Letter Size, Standard Green, 25 Count (372 1/5)

Island Hanging File Folder 1/5 Cut, Letter Size, Standard Green, 25 Count (372 1/5)

ASIN: B00CSMMOT8
Analysis Date: Nov 7, 2025 (re-analyzed Nov 7, 2025)

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Review Analysis Results

B
Authenticity Grade
18.00%
Fake Reviews
4.93
Original Rating
4.50
Adjusted Rating

Analysis Summary

The reviews show a moderately suspicious pattern with several legitimate indicators but some concerning elements. The product has 100% verified purchase reviews (all marked 'V'), which is positive. However, the rating distribution is extremely skewed with 14 out of 15 reviews being 5-star (93%) and only one 4-star review, which is unusually high even for good products. Several reviews contain generic, repetitive language ('works as expected', 'good quality', 'sturdy') that could indicate template-based fake reviews. The duplicate review (R3708OITC9UCWD appears twice with identical text) is particularly concerning. That said, many reviews contain specific, practical details about usage scenarios (tax documents, sewing patterns, file cabinet measurements) that suggest genuine user experiences. The presence of one 4-star review and varied review lengths provides some authenticity.

Review Statistics

1,314
Total Reviews on Amazon
-0.43
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 (4.50 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 (4.93 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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