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.

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 Comments: 0