SupCares Military-Grade Gorilla Tempered Glass Screen Protector for Samsung Galaxy (Inch) With Installation Kit | Edge to Edge Coverage | Black (For Galaxy S23 Ultra 6.8")

SupCares Military-Grade Gorilla Tempered Glass Screen Protector for Samsung Galaxy (Inch) With Installation Kit | Edge to Edge Coverage | Black (For Galaxy S23 Ultra 6.8")

ASIN: B0DS25B5VF
Analysis Date: Oct 19, 2025

Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.20
Original Rating
3.60
Adjusted Rating

Analysis Summary

The review set shows a mixed pattern with some legitimate characteristics but also several suspicious elements. Positive aspects include: natural variation in ratings (1-5 stars), specific technical details about phone models and fingerprint sensors, and some negative reviews discussing genuine installation issues. Concerning patterns include: multiple reviews with nearly identical phrasing about 'perfect fit' and 'no bubbles,' one review mentioning purchasing 3 years ago for a different phone model which seems unlikely for a screen protector, and several reviews with overly enthusiastic language that reads like marketing copy. The duplicate review (R2YVL14HCR3MHT appears twice) is also suspicious. However, the presence of genuine-sounding negative reviews and technical specificity balances out the concerns.

Review Statistics

9,715
Total Reviews on Amazon
-0.60
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 (3.60 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 (4.20 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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