LLM silicon surrogates for arts participation surveys exhibit positive liking bias, lose taste relationality, and fail to preserve known social space alignments.
J., Filippas, A., and Manning, B
7 Pith papers cite this work, alongside 273 external citations. Polarity classification is still indexing.
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273
external citations · OpenAlex
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Apparent psychological profiles of LLMs are largely measurement artifacts driven by directional response bias rather than actual traits.
TourMart quantifies commission steering in LLM travel agents via paired counterfactual prompts, reporting 3.5-7.7 percentage point increases in steered recommendations for tested models.
ConsumerSim reconstructs official CCI series from synthetic populations and multi-source signals, outperforming baselines on reconstruction metrics and aiding short-horizon activity predictions.
LLMs converge on competitive rationality and coordination but diverge 48-fold on cooperation, with provider identity and generational shifts as dominant factors across 38 games.
LLMs support decision prediction and rationale generation but lack evidence for genuine decision explanation, requiring stricter standards to avoid over-crediting.
citing papers explorer
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Not-quite-human tastes: the stylized omnivorousness of LLM survey surrogates
LLM silicon surrogates for arts participation surveys exhibit positive liking bias, lose taste relationality, and fail to preserve known social space alignments.
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Apparent Psychological Profiles of Large Language Models are Largely a Measurement Artifact
Apparent psychological profiles of LLMs are largely measurement artifacts driven by directional response bias rather than actual traits.
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TourMart: A Parametric Audit Instrument for Commission Steering in LLM Travel Agents
TourMart quantifies commission steering in LLM travel agents via paired counterfactual prompts, reporting 3.5-7.7 percentage point increases in steered recommendations for tested models.
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Uncovering Salience-Driven Dynamics in Consumer Confidence with Generative Social Simulation
ConsumerSim reconstructs official CCI series from synthetic populations and multi-source signals, outperforming baselines on reconstruction metrics and aiding short-horizon activity predictions.
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Large language models converge on competitive rationality but diverge on cooperation across providers and generations
LLMs converge on competitive rationality and coordination but diverge 48-fold on cooperation, with provider identity and generational shifts as dominant factors across 38 games.
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LLMs Should Not Yet Be Credited with Decision Explanation
LLMs support decision prediction and rationale generation but lack evidence for genuine decision explanation, requiring stricter standards to avoid over-crediting.
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