FOCUSLINE 360 Count Clear Plastic Forks Heavy Duty, Solid and Durable Premium Disposable Forks Bulk, Suitable for Catering, Parties, Events and Everyday Use

FOCUSLINE 360 Count Clear Plastic Forks Heavy Duty, Solid and Durable Premium Disposable Forks Bulk, Suitable for Catering, Parties, Events and Everyday Use

ASIN: B0DG864SHR
Analysis Date: Oct 30, 2025 (re-analyzed Oct 30, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.88
Original Rating
4.20
Adjusted Rating

Analysis Summary

The reviews show a moderately suspicious pattern with several red flags but also some legitimate characteristics. The product has an overwhelmingly positive rating distribution (7 five-star, 1 four-star) which is common for fake review campaigns. Multiple reviews contain generic, repetitive language about 'sturdiness' and 'good value' without specific details. However, the reviews do show some variation in length and content, with a few containing specific usage scenarios (church potluck, Sam's Club comparison) that appear more authentic. The lack of verified purchase indicators ('V' appears to be a data field rather than verification) and the repetitive praise for basic product attributes suggest some artificial boosting, but the overall pattern isn't extreme enough to indicate a heavily manipulated product.

Review Statistics

381
Total Reviews on Amazon
-0.68
Rating Difference

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 (4.88 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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