NewsLens is a five-agent LLM pipeline that generates framing maps from news articles to expose ideological omissions and manipulation across geopolitical topics.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2representative citing papers
The study applies Bayesian uncertainty propagation to agentic RAG pipelines on StrategyQA and HotpotQA, reporting better discrimination on HotpotQA than on StrategyQA using standard calibration and selective-prediction metrics.
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NewsLens: A Multi-Agent Framework for Adversarial News Bias Navigation
NewsLens is a five-agent LLM pipeline that generates framing maps from news articles to expose ideological omissions and manipulation across geopolitical topics.
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Bayesian Uncertainty Propagation for Agentic RAG Pipelines: A Proof-of-Concept Study on Multi-Hop Question Answering
The study applies Bayesian uncertainty propagation to agentic RAG pipelines on StrategyQA and HotpotQA, reporting better discrimination on HotpotQA than on StrategyQA using standard calibration and selective-prediction metrics.