SCOPE：新闻媒体信源可信度与倾向性画像多智能体系统
SCOPE: Source Credibility and Outlet Profiling Engine
AI 导读
SCOPE 是一个用于评估新闻媒体偏见性、事实性与可信度的多智能体系统，输入媒体网址即可协调文章获取、内容分析、外部证据检索、评分与报告生成等专用 agent。在 200 家媒体的基准测试中，SCOPE 在多数指标上优于仅 LLM、仅文章、仅检索及媒体背景核查等基线，取得最低的偏见与事实性 MAE、完美的失败事实核查检出率和最低的事实错误率。代码已开源并提供在线演示。
正文 · 原文
Abstract:We present SCOPE, a multi-agent system for profiling news media outlets with respect to bias, factuality, and credibility. Given an outlet URL, SCOPE coordinates specialized agents for article acquisition, content analysis, external evidence search, scoring, and report generation. The system follows an MBFC-style methodology while making intermediate evidence and agent outputs inspectable through a structured demonstration interface. On a benchmark of 200 media outlets, SCOPE outperforms LLM-only, article-only, search-only, and media-background-check baselines on most metrics, achieving the lowest bias and factuality MAE, perfect failed-fact-check detection, and the lowest factual error rate. These results suggest that decomposed, evidence-grounded agent workflows can support more transparent and reliable media profiling. Our code is available at this https URL, and a live demonstration at this https URL.
| Subjects: | Multiagent Systems (cs.MA); Artificial Intelligence (cs.AI); Computation and Language (cs.CL) |
| Cite as: | arXiv:2610.35929 [cs.MA] |
| (or arXiv:2610.35929v1 [cs.MA] for this version) | |
| https://doi.org/10.48550/arXiv.2610.35929 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Daniil Orel Orel [view email]
[v1]
Sun, 18 Oct 2026 11:22:14 UTC (2,956 KB)
来源：arXiv cs.AI · arxiv.org