E-Commerce, Marketing, and Consumer Behavior in the AI Era
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With the rapid growth of e-commerce, business activities have shifted to web platforms, allowing users to browse products and read customer reviews to inform their purchases. Customer reviews significantly influence buying decisions, with users sharing experiences, ratings, and recommendations on products and services. However, fake reviews have become a challenges, as spammers may post misleading information that can deceive potential buyers. Detecting these fraudulent reviews is essential to maintaining trust in online platforms. E-Commerce, Marketing, and Consumer Behavior in the AI Era exp...
With the rapid growth of e-commerce, business activities have shifted to web platforms, allowing users to browse products and read customer reviews to inform their purchases. Customer reviews significantly influence buying decisions, with users sharing experiences, ratings, and recommendations on products and services. However, fake reviews have become a challenges, as spammers may post misleading information that can deceive potential buyers. Detecting these fraudulent reviews is essential to maintaining trust in online platforms. E-Commerce, Marketing, and Consumer Behavior in the AI Era explores the complexities of fake review detection, covering recent research, detection methods, and challenges in maintaining authentic online review systems. It discusses technologies and best practices in understanding and combating fraudulent activities in the digital landscape. Covering topics such as brand trust, information technology, and workforce optimization, this book is an excellent resource for online platform operators, digital marketing and branding professionals, researchers, academicians, regulatory agencies, and more.
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