Hisense 65" Class U8 Mini-LED ULED 4K UHD Google Smart TV (65U8QG, 2025 Model) - QLED, Native 165Hz, VRR 288, Up to LD5600, 5000 Nits, HDR10+, Dolby Vision IQ · Atmos, IMAX Enhanced, 4.1.2 Ch Audio

Hisense 65" Class U8 Mini-LED ULED 4K UHD Google Smart TV (65U8QG, 2025 Model) - QLED, Native 165Hz, VRR 288, Up to LD5600, 5000 Nits, HDR10+, Dolby Vision IQ · Atmos, IMAX Enhanced, 4.1.2 Ch Audio

Hisense 65" Class U8 Mini-LED ULED 4K UHD Google Smart TV (65U8QG, 2025 Model) - QLED, Native 165Hz, VRR 288, Up to LD5600, 5000 Nits, HDR10+, Dolby Vision IQ · Atmos, IMAX Enhanced, 4.1.2 Ch Audio

ASIN: B0F1DV217B
Analysis Date: Aug 6, 2025

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Review Analysis Results

B
Authenticity Grade
20.00%
Fake Reviews
4.80
Original Rating
4.75
Adjusted Rating

Analysis Summary

Analysis of 75 reviews found 15 potentially fake reviews (20%). This product has low fake review activity and appears trustworthy.

Review Statistics

About Review Data Collection

We extract as much review data as Amazon makes available at the time of analysis. The amount may vary due to Amazon's rate limiting, regional restrictions, or other factors. Our analysis is based on the reviews we successfully collected.

83
Total Reviews on Amazon
75
Reviews Analyzed
60
Genuine Reviews
15
Fake Reviews
-0.05
Rating Difference

Want to analyze more reviews? Install the Null Fake Chrome extension to capture and analyze additional reviews as you browse Amazon.

Free, quick to install, and works on Chrome, Edge, Brave, and other Chromium browsers.

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 (4.75 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 (4.80 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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Learn More About Fake Reviews

How Our Analysis Works

Detailed explanation of our AI methodology

Spotting Fake Reviews Yourself

10 warning signs to watch for

Frequently Asked Questions

Common questions about our tool

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