E104 Tinte Kompatibel mit E104 Tintenpatronen Nachfülltinte für ET-1810 ET-2810 ET-2820 ET-2870 ET-2814 ET-2815 ET-2825 ET-2826 ET-2830 ET-2840 ET-2862 ET-2870 ET-2876 ET-4800 ET-4810 (5P)

E104 Tinte Kompatibel mit E104 Tintenpatronen Nachfülltinte für ET-1810 ET-2810 ET-2820 ET-2870 ET-2814 ET-2815 ET-2825 ET-2826 ET-2830 ET-2840 ET-2862 ET-2870 ET-2876 ET-4800 ET-4810 (5P)

ASIN: B0BXKFH47X
Analysis Date: Nov 8, 2025

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Review Analysis Results

D
Authenticity Grade
42.00%
Fake Reviews
4.93
Original Rating
3.90
Adjusted Rating

Analysis Summary

This product shows moderate signs of review manipulation with several concerning patterns. The review set has an extremely high 5-star concentration (14/15 reviews are 5-star, 93%), which is unusually positive even for good products. Multiple reviews are extremely brief and generic ('sehr gut', 'gerne wieder', 'wie erwartet'), lacking substantive product details. Several reviews focus heavily on delivery speed rather than product quality, and there's notable repetition of price comparisons with original ink. The presence of a Vine review (marked 'U') suggests potential review manipulation tactics, though this review itself appears genuine. The multilingual nature (German, English, French, Spanish, Italian) with similar positive patterns across languages is also somewhat suspicious for a single product.

Review Statistics

370
Total Reviews on Amazon
-1.03
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade D mean?

This product has significant review authenticity issues. Many reviews show patterns consistent with fake or incentivized reviews. Exercise caution.

Adjusted Rating Explained

The adjusted rating (3.90 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 (4.93 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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