What percentage of reviews are fake for this product?

25.00% of the analyzed reviews appear to be fake or inauthentic.

What is the authenticity grade for this product?

The product receives a grade of C based on review authenticity analysis.

How many reviews were analyzed?

120 reviews were analyzed for authenticity patterns.

What is the adjusted rating after removing fake reviews?

After removing suspicious reviews, the adjusted rating is 5.00 out of 5 stars.

How does this analysis help consumers?

This analysis helps consumers identify products with manipulated reviews, enabling more informed purchasing decisions based on genuine customer feedback.

MSI MEG X870E GODLIKE, E-ATX - Supports AMD Ryzen 9000/8000/7000 Processors, AM5 - Dynamic Dashboard III, EZ Slide M.2, 110A SPS, DDR5 Memory (9000+ MT/s OC), M.2 & PCIe 5.0, USB4, Wi-Fi 7, 10G LAN

Name: MSI MEG X870E GODLIKE, E-ATX - Supports AMD Ryzen 9000/8000/7000 Processors, AM5 - Dynamic Dashboard III, EZ Slide M.2, 110A SPS, DDR5 Memory (9000+ MT/s OC), M.2 & PCIe 5.0, USB4, Wi-Fi 7, 10G LAN
Brand: Amazon
SKU: B0DM4HD873
Availability: InStock
Rating: 5.0 (120 reviews)

ASIN: B0DM4HD873

Analysis Date: Aug 6, 2025

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Review Analysis Results

Authenticity Grade

25.00%

Fake Reviews

5.00

Original Rating

5.00

Adjusted Rating

Analysis Summary

Analysis of 120 reviews found 30 potentially fake reviews (25%). This product has moderate fake review activity. Exercise some caution.

Review Statistics

864

Total Reviews on Amazon

0.00

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 (5.00 stars) represents what we estimate this product's rating would be if fake reviews were removed. The ratings are similar, suggesting fake reviews aren't significantly impacting the overall 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.