FURR 2% Kojic Acid Soap with Cherry Blossom Extract | For Pigmentation and Sun Damage | Skin Lightening | Glutathione & Alpha-Arbutin | Gently Exfoliates | Suitable For All Skin Types | 75g x 2N
Review Analysis Results
Analysis Summary
The review set shows strong indicators of artificial manipulation with 92% 5-star ratings and multiple identical/similar reviews. Key concerns include: (1) Two reviews (R2K2A91XS21SWJ and R3MBL0GNT0VJF4) are nearly identical with only minor formatting differences, suggesting copy-paste manipulation; (2) Review R3C76V7Q8K2UU9 appears twice with identical content, a clear red flag; (3) Multiple reviews use nearly identical phrasing about 'brightening skin and reducing dark spots' with similar timeframes ('few weeks'); (4) Several reviews contain marketing-style language and excessive emoji use that reads like promotional content rather than genuine user experiences; (5) The overwhelmingly positive sentiment (15/16 reviews are 4-5 stars) with minimal critical feedback is statistically improbable for a real product.
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.
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Price Analysis
Price analysis pending
Price insights will be available shortly.
Understanding This Analysis
What does Grade D mean?
This product has significant review authenticity issues. Many reviews show patterns consistent with fake or incentivized reviews. Exercise caution.
Adjusted Rating Explained
The adjusted rating (3.30 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 (4.93 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.
