Conceptio › Archive › arXiv (All)
arXiv (All) open access

Sympathetic Framing: Evaluating AI Alignment across Sociodemographic Groups

Shani-Narkiss, Haran et al.
arXiv (All) · Papers
Open Source ↗Direct PDF ↓
artificial-intelligencecomputation-and-languagecomputers-and-societymachine-learning
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 emotion
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 997522
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive