JBL Wave Buds 2 Ear Buds Wireless BluetoothV5.3, Active Noise Cancellation EarBuds,Multi Connect, App for Customized Extra Bass Eq, Relax Mode,Speed Charge, 40H Playback, Fast Pair, 4 Mics,IP54(Black)

JBL Wave Buds 2 Ear Buds Wireless BluetoothV5.3, Active Noise Cancellation EarBuds,Multi Connect, App for Customized Extra Bass Eq, Relax Mode,Speed Charge, 40H Playback, Fast Pair, 4 Mics,IP54(Black)

ASIN: B0DHL63KWK
Analysis Date: Nov 8, 2025

Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
3.80
Original Rating
3.30
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive aspects include: diverse rating distribution (1-5 stars), detailed technical comparisons with competitor products, and some reviews mentioning specific usage scenarios. Concerning patterns include: multiple reviews with minimal content ('BIEN PARA EL PRECIO'), some overly enthusiastic 5-star reviews with generic praise, and one duplicate 5-star review (R2ETH2VIRXD63O appears twice with identical text). The verification rate is 100% (all marked 'V'), which is unusually high. However, the presence of critical reviews with specific complaints and mixed language reviews (Turkish, Italian, Spanish) suggests organic diversity. The moderate fake percentage reflects some suspicious patterns but overall appears to be a genuine product review set with some potential manipulation.

Review Statistics

25,244
Total Reviews on Amazon
-0.50
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 (3.30 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 (3.80 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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