Authors: Darshika Agarwal, Mr. Jitender Chaudhary
Abstract: The rapid growth of e-commerce and social media platforms has significantly increased consumers' reliance on online reviews when purchasing cosmetic products. However, the prevalence of fake reviews has emerged as a major challenge, influencing consumer perceptions and purchasing decisions. This study examines the impact of fake reviews on buying behavior in the cosmetic industry and explores various methods used to detect deceptive review practices. Fake reviews can mislead consumers by creating false impressions regarding product quality, effectiveness, and safety, thereby affecting trust in brands and online marketplaces. The study highlights the psychological factors that make consumers vulnerable to manipulated reviews and analyzes the consequences for both consumers and cosmetic companies. Furthermore, it reviews detection techniques such as sentiment analysis, machine learning algorithms, linguistic pattern recognition, reviewer behavior analysis, and verification systems employed by e-commerce platforms. The findings suggest that while fake reviews can significantly influence purchase intentions, advanced technological tools and stricter platform regulations can help identify and reduce deceptive content. The study emphasizes the need for greater transparency, consumer awareness, and robust review authentication mechanisms to maintain trust and integrity in the cosmetic industry.
