Same Story, Different Lens：用于跨媒体新闻框架分析的多智能体系统
Same Story, Different Lens: A Multi-Agent System for Cross-Outlet News Framing Analysis
AI 导读
研究原型 Same Story, Different Lens 利用多智能体系统比较 17 家新闻媒体对同一事件的报道差异。系统将同事件报道分组，分析情感倾向、政治立场、框架、情绪化语言、可能遗漏内容及事实与观点占比，由三个智能体分别负责文章分析、来源支持评估和跨媒体简报生成，结果存为 JSONL 档案。
正文 · 原文
Abstract:News outlets covering the same event differ in what they emphasize and omit. \textit{Same Story, Different Lens} is an experimental research prototype for comparing these choices. It collects world and politics coverage from 17 outlets, groups reports about the same event, and produces structured analyses of sentiment, political lean, framing, loaded language, possible omissions, and model-estimated proportions of factual claims and opinion. Loaded-language entries include quotations and neutral rewordings. Three model roles (agents) handle article analysis, assessment of source support, and cross-outlet briefing generation. Analyses are stored in a JSONL archive. The evaluation compares outlet-level lean estimates with approximate, predefined reference ratings and summarizes the Critic's model-assigned grounding scores. These measures provide preliminary diagnostics. A grounding score reflects the model's assessment of support in the supplied text and does not establish factual accuracy or constitute independent verification.
| Comments: | The projects source code is available in the GitHub repository. Link: this https URL |
| Subjects: | Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2610.35208 [cs.AI] |
| (or arXiv:2610.35208v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2610.35208 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Affan Yasin Dr. [view email]
[v1]
Mon, 26 Oct 2026 10:58:48 UTC (9,172 KB)
来源：arXiv cs.AI · arxiv.org