Large language models display the identifiable victim effect at roughly twice the human baseline, strongly amplified by instruction tuning and chain-of-thought prompting but inverted by reasoning-specialized models.
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Semi-structured interviews with 15 visualization practitioners identify three emotion functions for viewers, three design facets, ethical considerations, and observations that affective intent often emerges during the process.
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Narrative over Numbers: The Identifiable Victim Effect and its Amplification Under Alignment and Reasoning in Large Language Models
Large language models display the identifiable victim effect at roughly twice the human baseline, strongly amplified by instruction tuning and chain-of-thought prompting but inverted by reasoning-specialized models.
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Made to Feel: How Designers Bring Emotions into Affective Visualization
Semi-structured interviews with 15 visualization practitioners identify three emotion functions for viewers, three design facets, ethical considerations, and observations that affective intent often emerges during the process.