HUANUO Single TV Monitor Wall Mount Bracket for 17 to 34 Inch Screens, Holds up to 44 lbs, Full Motion Wall Mount Monitor with Articulating Arms, Swivel, Rotation, Tilt, Max VESA 200x200

HUANUO Single TV Monitor Wall Mount Bracket for 17 to 34 Inch Screens, Holds up to 44 lbs, Full Motion Wall Mount Monitor with Articulating Arms, Swivel, Rotation, Tilt, Max VESA 200x200

ASIN: B0FD9Y2VB4
Analysis Date: Nov 1, 2025 (re-analyzed Nov 1, 2025)

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Review Analysis Results

B
Authenticity Grade
18.00%
Fake Reviews
4.63
Original Rating
4.20
Adjusted Rating

Analysis Summary

The review set shows mostly authentic characteristics with minor concerns. Positive aspects include: natural language variation across reviews, specific installation details, mixed ratings (5, 4, and 3 stars), and realistic product experiences. Concerns include: high proportion of 5-star reviews (6/7), some reviews contain overly enthusiastic language, and one review appears slightly generic. The 3-star review adds credibility by mentioning genuine frustration with confusing instructions. Overall, this appears to be a legitimate product with mostly authentic reviews from real users who had generally positive experiences with minor installation challenges.

Review Statistics

19
Total Reviews on Amazon
-0.43
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 (4.20 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 (4.63 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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