TikTok formally complies with DSA rules against profiling minors but delivers 5-8 times stronger interest-based targeting through undisclosed influencer and promotional content.
Theoretical anchor
Policy-as-Prompt: Rethinking Content Moderation in the Age of Large Language Models
Theoretical anchor. 60% of citing Pith papers extend or build on this work's framework.
6
Pith papers citing it
2
external citations · external index
Extended
60% of classified citations
citation-role summary
background 5
citation-polarity summary
roles
background 4representative citing papers
Structured dataset documentation shows little engagement with major reflexivity themes from FAccT literature, leading to a new codebook and extended datasheet questions.
Comparative analysis of China's and the UK's algorithm registers reveals that design choices shape registers into pre-market approval systems, ecosystem-monitoring tools, or expandable regulatory infrastructure—not just transparency mechanisms.
A literature review concludes that pursuing consensus in data annotation creates biased AI by dismissing subjective disagreements and enforcing geographic hegemony, and proposes mapping diversity instead.
Literature on system prompts for AI shows fragmented and contradictory claims that complicate policy efforts to use them as reliable governance mechanisms.
Proposes a five-bucket taxonomy of LLM harms and calls for dynamic auditing, but the systematic review behind it is not reproducible and contains mismatched citations.
citing papers explorer
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The DSA's Blind Spot: Algorithmic Audit of Advertising and Minor Profiling on TikTok
TikTok formally complies with DSA rules against profiling minors but delivers 5-8 times stronger interest-based targeting through undisclosed influencer and promotional content.
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Evaluating Structured Documentation as a Tool for Reflexivity in Dataset Development
Structured dataset documentation shows little engagement with major reflexivity themes from FAccT literature, leading to a new codebook and extended datasheet questions.
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Understanding the Role of Algorithm Registers in AI Governance Through Comparative Analysis of China and the UK
Comparative analysis of China's and the UK's algorithm registers reveals that design choices shape registers into pre-market approval systems, ecosystem-monitoring tools, or expandable regulatory infrastructure—not just transparency mechanisms.
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The Consensus Trap: Dissecting Subjectivity and the "Ground Truth" Illusion in Data Annotation
A literature review concludes that pursuing consensus in data annotation creates biased AI by dismissing subjective disagreements and enforcing geographic hegemony, and proposes mapping diversity instead.
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Prompt Governance? On Governing Technologies Governed by Natural Language
Literature on system prompts for AI shows fragmented and contradictory claims that complicate policy efforts to use them as reliable governance mechanisms.
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LLM Harms: A Taxonomy and Discussion
Proposes a five-bucket taxonomy of LLM harms and calls for dynamic auditing, but the systematic review behind it is not reproducible and contains mismatched citations.