AINOPE USB C Extension Cable, (6.6ft/2M/10Gbps/100W), USB C 3.2 Extender Fast Transfer Type C Extender Charging Compatible with PSVR2/USB C Hub/MacBook Air M2 Pro/iPad Pro/Magsafe Charger/Dell XPS

AINOPE USB C Extension Cable, (6.6ft/2M/10Gbps/100W), USB C 3.2 Extender Fast Transfer Type C Extender Charging Compatible with PSVR2/USB C Hub/MacBook Air M2 Pro/iPad Pro/Magsafe Charger/Dell XPS

ASIN: B09FDWG61C
Analysis Date: Oct 30, 2025

Review Analysis Results

C
Authenticity Grade
35.00%
Fake Reviews
4.20
Original Rating
3.50
Adjusted Rating

Analysis Summary

The review set shows moderate signs of inauthenticity with several concerning patterns. The 5-star reviews (4 out of 5) display suspicious characteristics including extremely brief, generic praise in Arabic ('جودة ممتازة وأداء عالي' - 'excellent quality and high performance') and English reviews that read like marketing copy with product feature descriptions. The single 1-star review appears more authentic with specific complaints about headphone disconnection issues over time. The language distribution (mixed Arabic/English) and the stark contrast between overly positive 5-star reviews and the detailed negative review suggest potential manipulation. However, the presence of at least one credible negative review and some detailed positive content prevents a higher fake percentage assessment.

Review Statistics

2,491
Total Reviews on Amazon
-0.70
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 (3.50 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 (4.20 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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