Recent application programming interface (API) restrictions on major social media platforms challenge compliance with the EU Digital Services Act [20], which mandates data access for algorithmic transparency. We develop a structured audit framework to assess the growing misalignment between regulatory requirements and platform implementations. Our comparative analysis of X/Twitter, Reddit, TikTok, and Meta identifies critical ``audit blind-spots'' where platform content moderation and algorithmic amplification remain inaccessible to independent verification. Our findings reveal an ``accountability paradox'': as platforms increasingly rely on AI systems, they simultaneously restrict the capacity for independent oversight. We propose targeted policy interventions aligned with the AI Risk Management Framework of the National Institute of Standards and Technology [80], emphasizing federated access models and enhanced regulatory enforcement.

翻译：近期主要社交媒体平台对应用程序编程接口（API）的限制，对欧盟《数字服务法案》[20]要求数据访问以实现算法透明度的合规性提出了挑战。我们开发了一个结构化审计框架，用于评估监管要求与平台实施之间日益加剧的错位。通过对X/Twitter、Reddit、TikTok和Meta的比较分析，我们识别出关键的“审计盲区”，即平台内容审核和算法放大机制仍无法被独立验证。我们的研究揭示了一个“问责悖论”：随着平台日益依赖人工智能系统，它们同时限制了独立监督的能力。我们提出了与美国国家标准与技术研究院人工智能风险管理框架[80]相一致的有针对性的政策干预措施，强调联邦访问模型和加强监管执法。