← Back to Library

Governments Should Mandate Tiered Anonymity on Social-Media Platforms to Counter Deepfakes and LLM-Driven Mass Misinformation

Authors: David Khachaturov, Roxanne Schnyder, Robert Mullins

Published: 2025-06-15

arXiv ID: 2506.12814v1

Added to Library: 2025-06-17 03:05 UTC

Risk & Governance

📄 Abstract

This position paper argues 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.

🔍 Key Points

  • Proposal of a three-tiered anonymity framework for social media, where user reach determines anonymity level: full pseudonymity for low-reach users, identity verification for moderate reach, and mandatory fact-checking for high-reach influencers.
  • Analysis of Reddit's moderation as a case study highlights existing community-driven approaches to accountability that can inform regulatory structures and operational feasibility for tiered identity systems.
  • Outlines a regulatory pathway leveraging existing legislation in the EU and UK to enhance accountability for social media influencers while retaining privacy for ordinary users, thereby addressing the balance between free speech and misinformation control.

💡 Why This Paper Matters

The paper is significant as it articulates a structured approach to countering the rising tide of misinformation enabled by deepfakes and LLMs through a legally and technically feasible tiered anonymity model. By linking user influence to identity obligations, it adds depth to ongoing discussions around online accountability and governance in an increasingly complex digital landscape.

🎯 Why It's Interesting for AI Security Researchers

This paper is of great interest to AI security researchers as it explores the interface of AI, misinformation, and accountability in online environments. The proposed mechanisms, particularly the use of machine learning for automated fact-checking, represent critical areas of research for developing robust defenses against AI-generated disinformation. As misinformation becomes more sophisticated, understanding and designing structures that can effectively counter such threats using AI will be crucial for future security protocols.

📚 Read the Full Paper