Moral knowledge retrieval improves Schwartz value detection more consistently than added context or larger models across tested conditions and model families.
Mining the uncertainty patterns of humans and models in the annotation of moral foundations and human values
2 Pith papers cite this work. Polarity classification is still indexing.
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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.
citing papers explorer
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More Context, Larger Models, or Moral Knowledge? A Systematic Study of Schwartz Value Detection in Political Texts
Moral knowledge retrieval improves Schwartz value detection more consistently than added context or larger models across tested conditions and model families.
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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.