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English(EN) Same Story, Different Lens: A Multi-Agent System for Cross-Outlet News Framing Analysis

新AI系统分析不同媒体的新闻框架差异

研究人员开发了“同一故事,不同视角”实验系统,旨在分析不同新闻媒体如何构建同一事件的框架。该系统收集了17家媒体的报道,将相同事件的报告分组,并提供关于情感、政治倾向、框架、煽动性语言以及事实声明与观点比例的结构化分析。它利用三个AI智能体进行文章分析、来源评估和简报生成,并将结果存储在JSONL档案中以供比较和诊断评估。 AI

影响 该系统可以提高媒体素养,并为分析新闻报道中的偏见提供工具。

排序理由 该集群描述了一篇详细介绍用于分析新闻框架的新系统的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新AI系统分析不同媒体的新闻框架差异

本文如何被排名

Signal score
10 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
该集群描述了一篇详细介绍用于分析新闻框架的新系统的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Same-day
Cluster formed today. Ranking reflects the current source set at time of score.

完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Affan Yasin, Yueqi Lyu, Rubia Fatima, Weinchen Zhong, Keyi Li ·

    相同的故事,不同的视角:用于跨媒体新闻框架分析的多智能体系统

    arXiv:2610.35208v1 Announce Type: new 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 outl…