We argue that governments should mandate a three-tier anonymity framework on social-media platforms as a reactionary measure prompted by the ease-of-production of deepfakes and large-language-model-driven misinformation. The tiers are determined by a given user's $\textit{reach score}$: Tier 1 permits full pseudonymity for smaller accounts, preserving everyday privacy; Tier 2 requires private legal-identity linkage for accounts with some influence, reinstating real-world accountability at moderate reach; Tier 3 would require per-post, independent, ML-assisted fact-checking, review for accounts that would traditionally be classed as sources-of-mass-information. An analysis of Reddit shows volunteer moderators converge on comparable gates as audience size increases - karma thresholds, approval queues, and identity proofs - demonstrating operational feasibility and social legitimacy. Acknowledging that existing engagement incentives deter voluntary adoption, we outline a regulatory pathway that adapts existing US jurisprudence and recent EU-UK safety statutes to embed reach-proportional identity checks into existing platform tooling, thereby curbing large-scale misinformation while preserving everyday privacy.

翻译：我们认为，鉴于深度伪造和大语言模型驱动的虚假信息易于制作，政府应强制要求社交媒体平台实施三层匿名框架作为应对措施。分层标准由用户的$\textit{传播力评分}$决定：第一层允许影响力较小的账户完全使用化名，以保护日常隐私；第二层要求具有一定影响力的账户进行私人法律身份关联，在中等传播范围内恢复现实世界的责任归属；第三层则要求传统上被归类为大规模信息源的账户，对其每篇发布内容进行独立的机器学习辅助事实核查与审查。对Reddit的分析表明，随着受众规模扩大，志愿版主会采用类似的门槛机制——如业力值阈值、审核队列和身份验证——这证明了该框架的操作可行性与社会合理性。我们承认现有平台参与激励机制阻碍了自愿采纳，因此提出一条监管路径：通过调整美国现有判例法及近期欧盟与英国的安全法规，将基于传播力的身份核查机制嵌入现有平台工具中，从而在保护日常隐私的同时遏制大规模虚假信息传播。