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Evidence record 15236 · automatically gathered

Sympathetic Framing: Evaluating AI Alignment across Sociodemographic Groups

Large Language Models (LLMs) are increasingly shaping how we consume information and form our worldview. This raises concerns beyond bias in AI: do LLMs grasp the emotional nuances conveyed via textual framing? In this work, we empirically evaluate how well an array of LLMs aligns with human emotional perception. Considering news headlines covering political and geopolitical conflicts, both human participants (n = 3011, a representative sample of the U.K. adult population, via a YouGov survey) a

Record details

Published: 22 July 2026
Source: arXiv cs.CL (ethics-relevant NLP)
Category: Research
Topics: Bias & fairness · Safety & alignment
Retrieved: 31 July 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.

Same publisher byline · Shared topic: Bias & fairness

Sympathetic Framing: Evaluating AI Alignment across Sociodemographic Groups

arXiv cs.CY · 31 July 2026

Shared topic: Bias & fairness · Shared topic: Safety & alignment

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arXiv cs.LG · 22 July 2026

Shared topic: Bias & fairness · Shared topic: Safety & alignment

Language Models Embody and Amplify Human Cognitive Distortions: What Is to Be Done?

arXiv · 22 July 2026

Shared topic: Bias & fairness · Shared topic: Safety & alignment

Spectral Prior for Reducing Exposure Bias in Diffusion Models

HuggingFace Daily Papers · 23 July 2026

Shared topic: Bias & fairness · Shared topic: Safety & alignment

How Does Alignment Tuning Shape Representations of Sycophancy and Related Cue-Induced Biases in LLMs?

arXiv · 20 July 2026

Shared topic: Bias & fairness · Shared topic: Safety & alignment

Directional Influence Function: Estimating Training Data Influence in Constrained Learning

arXiv fairness query · 25 July 2026

How to cite this record

ethics.ai (22 July 2026), “Sympathetic Framing: Evaluating AI Alignment across Sociodemographic Groups,” evidence record 15236, https://ethics.ai/record/15236 (originally published by arXiv cs.CL (ethics-relevant NLP)).

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