数字游戏背后的监管难题与消费陷阱

Core Viewpoint - The learning machine market is highly competitive, with various brands claiming to be "number one" in different categories, leading to potential consumer confusion and possible legal implications regarding misleading advertising [1][2]. Market Status - The learning machine market is characterized by intense competition, with brands like iFlytek, Zuoyebang, and Xiaoyuan claiming top sales positions and utilizing aggressive marketing strategies [2][3]. - Brands frequently use terms like "industry benchmark" and "technological innovation" in their promotions, contributing to a confusing landscape for consumers [2]. Sources of Claims - iFlytek claims to have been the top seller in high-end learning machines for four consecutive years, citing data from a third-party consulting firm [3]. - Zuoyebang's claim of being the top seller is based on a combination of offline and online sales data, but lacks clear evidence for specific assertions [3]. - Xiaoyuan's claim of "national sales first" is based on a study from a consulting firm, but the source is not prominently displayed, making it easy for consumers to overlook [3]. Misleading Technical Terms - Many technical terms used in marketing, such as "AI precision tutoring" and "natural light simulation," lack clear definitions, leading to consumer confusion [4]. - Claims about technology, such as iFlytek's "in-built technology for high school entrance exams," are vague and not well explained [4]. Regulatory and Standardization Issues - Legal experts indicate that the use of absolute terms like "number one" without robust data support may constitute false advertising under Chinese law [5]. - The market lacks a standardized system for measuring sales and performance, leading to discrepancies in reported data and making it difficult for regulatory bodies to verify claims [6]. Recommendations for Improvement - Experts suggest that regulatory bodies should adopt stricter oversight similar to that of medical devices to restore order in the learning machine market [7]. - Recommendations include creating a unified product database for consumer reference and implementing visual comparisons of technical specifications to enhance transparency [7]. - Companies are encouraged to focus on product quality and user experience rather than relying on misleading marketing tactics [8].