JJC Wireless Infrared Shutter Release Remote Control Replaces Nikon ML-L3 for Nikon D750 D610 D3400 D3300 D3200 D7500 D7200 D7100 D5500 D5300 D5200 D90 D80 Coolpix P900 P7800 P7700
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Review Analysis Results
Analysis Summary
The review set shows mixed authenticity signals. Positive aspects include specific camera model mentions (Nikon D90, D3400, D340), varied review lengths, and some detailed usage scenarios. However, concerning patterns include: 1) Extreme polarization with 6 five-star reviews and 4 one-star reviews creating a suspicious bimodal distribution, 2) Several overly simplistic reviews lacking substance ('The button works', 'Didn't work'), 3) Multiple reviews in different languages (English, French, Arabic) which can indicate international review manipulation, and 4) Some repetitive phrasing in positive reviews. The moderate fake percentage reflects that while there are likely some authentic reviews with specific details, the overall pattern suggests potential manipulation with both fake positive and negative reviews.
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 (2.90 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 (3.42 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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