What percentage of reviews are fake for this product?

0.00% of the analyzed reviews appear to be fake or inauthentic.

What is the authenticity grade for this product?

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

How many reviews were analyzed?

0 reviews were analyzed for authenticity patterns.

What is the adjusted rating after removing fake reviews?

After removing suspicious reviews, the adjusted rating is 0.00 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.

GTPLAYER Gaming Chair Fabric with Pocket Spring Cushion, Big and Tall Gamings Chairs 350LBS High Back Computer Chair with Footrest for Adults Lumbar Support Swivel Game Chair for Office Light Black

Name: GTPLAYER Gaming Chair Fabric with Pocket Spring Cushion, Big and Tall Gamings Chairs 350LBS High Back Computer Chair with Footrest for Adults Lumbar Support Swivel Game Chair for Office Light Black
Brand: Amazon
SKU: B0FN3JSVNZ
Availability: InStock

ASIN: B0FN3JSVNZ

Analysis Date: Oct 30, 2025

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Review Analysis Results

Authenticity Grade

0.00%

Fake Reviews

0.00

Original Rating

0.00

Adjusted Rating

Analysis Summary

No reviews could be extracted for analysis. This may occur when Amazon is actively blocking automated review collection, implementing anti-bot measures, or when the product genuinely has no customer reviews. Our system will automatically retry this analysis periodically to check if reviews become available.

Review Statistics

0.00

Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade U mean?

Grade unavailable for this product.

Adjusted Rating Explained

The adjusted rating (0.00 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.