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[ARTICLE · art-135689] src=pressaudit.org ↗ pub= topic=large-language-models verified=true sentiment=· neutral

Show HN: Using Qwen to track under-covered news

A new non-profit site, pressaudit.org, is using Alibaba's Qwen 3-32b large language model to process thousands of news articles and analyze them by region, public interest, and partisan lean, according to the project's launch announcement. The site's "Underreported in the US" section surfaces stories covered abroad that have thin or absent coverage in US outlets. The project's creator said they are seeking feedback on the LLM-based approach.

read1 min views1 publishedSep 21, 2026
Show HN: Using Qwen to track under-covered news
Image: source

I'm helping launch this non-profit site which uses Qwen 3-32b to process thousands of news articles and analyze them by region, public interest, partisan lean, etc. This "Underreported in the US" section features stories covered abroad but have thin or absent coverage in US outlets.

More on how we use LLMs below. Would love your feedback, good / bad / otherwise!

[https://pressaudit.org/AI-ethics](https://pressaudit.org/AI-ethics)

Comments URL: [https://news.ycombinator.com/item?id=49784447](https://news.ycombinator.com/item?id=49784447)

Points: 1

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