Samsung 8 kg, 5 star, Eco Bubble Technology, AI Control, Wi-Fi, Digital Inverter, Motor, Fully-Automatic Front Load Washing Machine (WW80T504DAX1TL, Hygiene Steam, Inox)

Samsung 8 kg, 5 star, Eco Bubble Technology, AI Control, Wi-Fi, Digital Inverter, Motor, Fully-Automatic Front Load Washing Machine (WW80T504DAX1TL, Hygiene Steam, Inox)

Samsung 8 kg, 5 star, Eco Bubble Technology, AI Control, Wi-Fi, Digital Inverter, Motor, Fully-Automatic Front Load Washing Machine (WW80T504DAX1TL, Hygiene Steam, Inox) : Amazon.in: Home & Kitchen

ASIN: B0CPJG92ZS
Analysis Date: Oct 5, 2025

Review Analysis Results

C
Authenticity Grade
25.00%
Fake Reviews
4.33
Original Rating
3.80
Adjusted Rating

Analysis Summary

The review set shows a moderately suspicious pattern with several concerning elements. The rating distribution is heavily skewed toward 5-star reviews (6 out of 9 reviews, 67%), with only one 1-star review and two 4-star reviews, creating an unnatural distribution. All reviews are marked as 'U' (unverified purchase), which significantly reduces credibility since these could be written by anyone without purchase verification. The lack of review text prevents deeper linguistic analysis, but the combination of high unverified rate and extreme rating polarization suggests some artificial manipulation. However, the presence of one 1-star review provides some balance that prevents a higher fake percentage score.

Review Statistics

2,573
Total Reviews on Amazon
-0.53
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 (3.80 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 (4.33 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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