Akasa K32|CPU Cooler|92mm Low Noise PWM Fan|TDP 95W|Aluminium Heatsink|Designed for Intel LGA1200, LGA1156, LGA1155, LGA1151, LGA775|AK-CC7117EP01

Akasa K32|CPU Cooler|92mm Low Noise PWM Fan|TDP 95W|Aluminium Heatsink|Designed for Intel LGA1200, LGA1156, LGA1155, LGA1151, LGA775|AK-CC7117EP01

ASIN: B005J2IS3U
Analysis Date: Sep 25, 2025

Review Analysis Results

B
Authenticity Grade
18.00%
Fake Reviews
4.80
Original Rating
4.40
Adjusted Rating

Analysis Summary

The reviews show a generally authentic pattern with moderate concerns. Positive aspects include: 1) Diverse verification status (6 verified, 6 unverified) suggesting organic distribution, 2) Realistic technical details about specific CPU models, cooling performance, and installation experiences, 3) Mixed but reasonable ratings (mostly 5-star with some 3-4 star reviews). Concerns include: 1) Some reviews contain overly generic praise without specific details, 2) Multiple reviews follow similar structural patterns (problem-solution format), 3) Several non-English reviews appear formulaic. However, the technical specificity, varied writing styles, and realistic use cases outweigh the minor suspicious elements.

Review Statistics

393
Total Reviews on Amazon
-0.40
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 (4.40 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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