Overhead Phone Mount, Articulating Arm Cell Phone Holder with LED Light, Flexible Phone Stand for Live Streaming, Video Recording, Painting Lighting, Cooking
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Review Analysis Results
Analysis Summary
The review set shows mixed authenticity signals. Positive indicators include: natural rating distribution (67% 5-star, 13% 4-star, 7% 3-star, 7% 1-star), detailed negative reviews with specific complaints, and varied review lengths/styles. Concerning patterns include: duplicate reviews (R27ABOXM69HFDL and R2CQJH7WS6W399 appear twice with identical text), some overly generic 5-star reviews lacking detail, and several reviews using similar product-focused language. The Spanish/English mix appears organic. The moderate fake percentage reflects that while most reviews seem genuine, there are some suspicious duplicates and generic positive reviews that may be inauthentic.
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 (3.80 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 (4.47 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.
