A-SUB Premium Photo Paper High Glossy 8.5x11 Inch 66lb for Inkjet Printers 50 Sheets,Single Sided
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Review Analysis Results
Analysis Summary
The review set shows mixed authenticity signals. Positive indicators include: specific printer model mentions (Canon Pixma Pro 200, Epson ET-8550, etc.), technical details about paper performance, and some negative feedback about packaging. However, concerning patterns include: extremely high 5-star concentration (14/15 reviews), repetitive enthusiastic language across multiple reviews, duplicate reviews from the same user IDs (RDV6N0LZ736L6 and R33UEQ82GZZ18C appear twice), and several brief, generic positive reviews that lack substantive detail. The presence of French reviews alongside English ones suggests international distribution, which can be legitimate but also exploited by fake review networks. The moderate fake percentage reflects that while many reviews appear genuine, there's likely some artificial inflation of positive ratings.
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.
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 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 (4.20 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.
