SDKDZKG 4K x 2K HDMI Audio Converter Extractor, HDMI and Optical TOSLINK SPDIF Audio Splitter Adapter with 3.5mm Stereo Audio Splitter Adapter,Black

SDKDZKG 4K x 2K HDMI Audio Converter Extractor, HDMI and Optical TOSLINK SPDIF Audio Splitter Adapter with 3.5mm Stereo Audio Splitter Adapter,Black

ASIN: B0CFKMDQGR
Analysis Date: Sep 24, 2025 (re-analyzed Sep 24, 2025)

Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.50
Original Rating
3.90
Adjusted Rating

Analysis Summary

The review set shows a mixed pattern with some concerning elements but overall appears mostly legitimate. Positive aspects include detailed technical descriptions from verified purchasers, varied review lengths, and authentic-sounding usage scenarios. However, several red flags emerge: extremely high 5-star concentration (11/14 reviews), multiple overly simplistic 'works great' type reviews, one review in Turkish and another in Italian suggesting potential international manipulation, and several reviews with unnatural phrasing. The presence of one Vine review adds credibility but doesn't outweigh the suspicious patterns. The moderate fake percentage reflects that while many reviews appear genuine, there's likely some artificial inflation of positive ratings.

Review Statistics

368
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 (3.90 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 (4.50 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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