Machine translation preserves moral semantics in Polish social media data well enough for cross-lingual use, shown by 0.86 mean embedding similarity and 0.01-0.02 AUC gaps in moral foundations classification.
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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.
Information retrieval can empower socially responsible consumerism by reducing information asymmetries, supporting complex ethical searches, and calibrating consumer knowledge during product decisions.
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Moral Semantics Survive Machine Translation: Cross-Lingual Evidence from Moral Foundations Corpora
Machine translation preserves moral semantics in Polish social media data well enough for cross-lingual use, shown by 0.86 mean embedding similarity and 0.01-0.02 AUC gaps in moral foundations classification.
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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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From Query to Conscience: The Importance of Information Retrieval in Empowering Socially Responsible Consumerism
Information retrieval can empower socially responsible consumerism by reducing information asymmetries, supporting complex ethical searches, and calibrating consumer knowledge during product decisions.