Core Viewpoint - The introduction of a dual evaluation mechanism for food delivery services aims to balance the power dynamics between riders and customers, allowing riders to block problematic customers and enhancing their rights as workers [1][2][3] Group 1: Evaluation Mechanism - The new feature allows riders to select "do not deliver to this customer" for up to 365 days if they face abusive behavior, thus correcting the previous one-sided evaluation system [1][2] - This dual evaluation system empowers riders to refuse unreasonable demands from customers, potentially improving service quality and fostering a more harmonious relationship between riders and customers [2][3] Group 2: Challenges and Concerns - There are concerns regarding the protection of user rights in cases where riders block customers, especially in difficult delivery scenarios, and how to ensure fair treatment of customers who may be unjustly blocked [2][3] - The platform's role as a neutral rule-maker raises questions about its responsibility in managing the relationship between riders and customers, as it may avoid its obligations as the primary organizer [3][4] Group 3: Recommendations for Improvement - To address the underlying issues, the platform should consider implementing differentiated pricing based on order difficulty, ensuring fair compensation for riders and preventing mass blocking of customers [4][5] - Establishing formal employment relationships for riders would compel the platform to create effective complaint channels and support systems, enhancing riders' dignity and promoting a healthier ecosystem [4][5]

对数字经济领域新型不正当竞争行为进行"靶向治疗"，正是新修订的反不正当竞争法的鲜明特色。其 中，围绕虚假交易、数据权益保护、平台责任三大问题的规制，是公众热议之所在，也是新法最大亮 点。 新法对虚假交易亮剑，旨在斩断刷单炒信灰色产业链。此前刷单炒信已成为电商、直播等行业的潜规 则，虚假的销量和好评不仅误导消费者决策，更推动形成了"劣币驱逐良币"的恶性循环。新法明确将虚 构交易、编造用户评价等虚假交易行为列为不正当竞争，并提高处罚力度，从根源上打击数据造假，这 一规定直击行业痛点，既是对消费者知情权的保护，也是对诚信经营的呵护，有助于让市场回归以质量 取胜的正轨。 十四届全国人大常委会第十六次会议表决通过新修订的《中华人民共和国反不正当竞争法》，自10月15 日起施行。 公平竞争是市场经济的基石。在数字经济浪潮奔涌的当下，市场竞争格局日新月异，呈现出一系列新的 特点。 一方面平台经济、共享经济等新业态快速发展，数据成为关键要素，算法、人工智能等技术的应用日趋 深广；另一方面，市场集中度提高，规模效应越来越显著，头部平台往往更容易形成市场主导地位。 这些特点也意味着反不正当竞争面临诸多新挑战。 新的市场格局中，新 ...

Core Viewpoint - The article emphasizes the need for a regulatory framework to address the chaotic state of online stock recommendations, highlighting the blurred boundaries of administrative regulation, weak deterrent effects of penalties, and unclear collaboration among regulatory bodies [5][9][17]. Summary by Sections Online Stock Recommendation Chaos - Since late September 2024, a surge in retail investor accounts has been observed, driven by a new ecosystem in the A-share market, significantly influenced by online stock recommendations [5]. - The current landscape of online stock recommendations is mixed, involving licensed securities consulting firms and unlicensed influential online figures, with methods ranging from factual analysis to spreading false information for profit [6]. Regulatory Dilemmas - The article identifies three main regulatory challenges: 1. **Ambiguity in Administrative Regulation**: The distinction between securities investment consulting activities and businesses is unclear, leading to regulatory gaps [10][11]. 2. **Weak Deterrent Effect of Penalties**: Many licensed investment consulting firms continue to violate regulations, with low penalties for misconduct, resulting in a culture of non-compliance [12][13]. 3. **Unclear Collaboration Among Regulatory Bodies**: Multiple agencies are involved in regulating online stock recommendations, but lack clear coordination, making comprehensive oversight difficult [15][16]. Platform Responsibility - The article argues for recognizing the dual role of large online platforms as both market competitors and self-regulatory managers, suggesting that effective regulation of online stock recommendations requires a focus on platform responsibility within a framework that includes administrative bodies and recommendation entities [17][19]. - It advocates for adaptive regulation that allows for flexibility and innovation in regulatory approaches, emphasizing the importance of self-regulation by platforms to balance efficiency and safety in the financial market [19][20].