ASUS TUF Gaming Z790-Plus WiFi LGA 1700(Intel 14th,12th &13th Gen) ATX Gaming Motherboard(PCIe 5.0,DDR5,4xM.2 Slots,16+1 DrMOS,WiFi 6,2.5Gb LAN,Front USB 3.2 Gen 2 Type-C,Thunderbolt 4(USB4),Aura RGB)

ASUS TUF Gaming Z790-Plus WiFi LGA 1700(Intel 14th,12th &13th Gen) ATX Gaming Motherboard(PCIe 5.0,DDR5,4xM.2 Slots,16+1 DrMOS,WiFi 6,2.5Gb LAN,Front USB 3.2 Gen 2 Type-C,Thunderbolt 4(USB4),Aura RGB)

ASIN: B0BQD58D96
Analysis Date: Sep 13, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
1.05
Original Rating
0.90
Adjusted Rating

Analysis Summary

The reviews show a mixed pattern with some legitimate characteristics but also several concerning elements. The product has a high number of 5-star reviews (approximately 75%) with only a few 1-star and 4-star reviews, which is somewhat suspicious but not extreme. Several reviews appear duplicated or very similar in content (notably the first review appearing twice with different ratings), suggesting potential manipulation. Many reviews are overly generic ('good motherboard', 'works well') without specific details, while others provide genuine technical details and installation experiences. The presence of multiple languages (English, Spanish, French, Polish) suggests organic international usage. The mix of detailed technical complaints and specific positive experiences indicates a combination of authentic and potentially inauthentic reviews.

Review Statistics

1,190
Total Reviews on Amazon
-0.15
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 (0.90 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 (1.05 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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