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arXiv AI By Affan Yasin, Yueqi Lyu, Rubia Fatima, Weinchen Zhong, Keyi Li

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

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Same Story, Different Lens is an experimental prototype that compares how 17 news outlets cover the same events by collecting world and politics coverage, grouping reports about identical incidents, and generating structured analyses of sentiment, political lean, framing, loaded language, omissions, and estimated proportions of factual claims versus opinion. The system employs three model roles—article analysis, source support assessment, and cross‑outlet briefing generation—to produce JSONL archives of its findings. Evaluation includes comparing outlet‑level lean estimates with predefined reference ratings and summarizing the Critic’s grounding scores, which indicate the model’s assessment of support within the supplied text.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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