Jacquard Tablecloth Flower Pattern Polyester Table Cloth Spill Proof Dust-Proof Wrinkle Resistant Table Cover for Kitchen Dining Tabletop Decoration (Rectangle/Oblong, 52" x 70" (4-6 Seats),Gray)

ASIN: B089Y97T5F
Analysis Date: Nov 18, 2025 (re-analyzed Nov 18, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.80
Original Rating
4.10
Adjusted Rating

Analysis Summary

The review set shows a moderately high percentage of 5-star reviews (14 out of 16, or 87.5%) with generally positive sentiment, but there are several legitimate-seeming patterns that reduce suspicion. The presence of multiple verified purchase tags (all reviews marked 'V') and specific, practical details about sizing issues, washing performance, and real-world usage scenarios suggests authentic customer experiences. The mix includes some critical feedback (one 3-star review about slipping issues and several mentions of sizing problems) which adds credibility. However, the overwhelmingly positive tone and repetitive phrasing patterns ('great quality,' 'perfect,' 'love') in some reviews raise mild concerns about potential incentivized or biased reviewing.

Review Statistics

5,457
Total Reviews on Amazon
-0.70
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 (4.10 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 (4.80 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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