FITUEYES Iron Base Universal Floor TV Stand with Swivel Mount for 32-65 Inch LED LCD OLED Plasma Flat Panel or Curved Screen TVs Height Adjustable with Wire Management (Black)
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Review Analysis Results
Analysis Summary
The reviews show a moderately suspicious pattern with several concerning elements, but also contain legitimate characteristics. Key findings: 1) Extremely high 5-star concentration (11/14 reviews = 79%) with only 3 four-star reviews and no lower ratings, creating an unnatural distribution. 2) Multiple reviews contain repetitive, generic praise without specific details ('Perfect', 'Love it', 'Good purchase'). 3) Several reviews appear duplicated or nearly identical (reviews 1 and 9 are identical, reviews 4 and 10 are identical). 4) However, many reviews contain specific, realistic details about assembly, room situations, product features, and minor criticisms that suggest genuine experiences. 5) The presence of some critical feedback in 4-star reviews adds credibility. The moderate fake percentage reflects the mix of suspicious patterns with authentic-seeming content.
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.
Want to analyze more reviews? Install the Null Fake Chrome extension to capture and analyze additional reviews as you browse Amazon.
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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 (4.10 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.
