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Evidence record 17763 · automatically gathered

Critical Acclaim Orientation in Large Language Models: Evidence from Film Preference Elicitation

arXiv:2608.06955v1 Announce Type: cross Abstract: Large language models (LLMs) are trained on corpora that contain expressions of human judgment about films, books, music, and more. Yet whether LLMs systematically reproduce evaluative hierarchies remains unclear. Prior research on cultural bias in LLMs suggests competing expectations: models may mirror the popularity signals of internet texts, or may reproduce forms of prestige embedded in critical discourse. We probe this question through a stu

Record details

Published: 10 August 2026
Source: arXiv cs.CY
Category: Research
Topics: Bias & fairness
Retrieved: 10 August 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

Shared topic: Bias & fairness

Let's Unlearn Stereotypes Before Decision-Making: Assessing the Impact of Intrinsic Bias Mitigation on Downstream Fairness in LLMs

arXiv cs.CY · 10 August 2026

Shared topic: Bias & fairness

Calibrating WEAT Against Anisotropy: ZCA Whitening as a Geometric Pre-Processing Step for Embedding Association Tests

arXiv cs.CY · 10 August 2026

Shared topic: Bias & fairness

F2STNet: Fair and Federated Spectral-Temporal Modeling for Graph Forecasting

arXiv fairness query · 10 August 2026

Shared topic: Bias & fairness

FedTVD: Balancing Data Quality and Quantity for Robust Federated Learning

arXiv · 10 August 2026

Shared topic: Bias & fairness

Beyond Binary: Continuous State Optimization with Graph-Structured Objectives

arXiv fairness query · 10 August 2026

Shared topic: Bias & fairness

Confusion-Geometry Rebalancing for Long-Tailed Adversarial Training

arXiv cs.AI · 10 August 2026

How to cite this record

ethics.ai (10 August 2026), “Critical Acclaim Orientation in Large Language Models: Evidence from Film Preference Elicitation,” evidence record 17763, https://ethics.ai/record/17763 (originally published by arXiv cs.CY).

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