Exactly. The biases are per news source and actually constant: https://github.com/Hadjimina/perspectiveNews/blob/0c4c6a932abb1a91a0f66a4bfc23553ae1df25a7/src/he

Exactly. The biases are per news source and actually constant: https://github.com/Hadjimina/perspectiveNews/blob/0c4c6a932abb1a91a0f66a4bfc23553ae1df25a7/src/helpers/constants.js https://github.com/Hadjimina/perspectiveNews/blob/0c4c6a932a... I'm sure they are eventually updated, but making a general judgment per news source to show individual articles means it will occasionally be wrong and misleading for the reader. The name alone, "their news", suggests an us vs. them mentality that we could use less of these days. For once I think machine learning would be suitable for this. Have something like GPT-3 process individual articles and produce a bias number. I think this is how https://www.improvethenews.org/ https://www.improvethenews.org/ works, and at a quick glance, does a much better job at classifying. But honestly? We shouldn't bother. Consume every new information with a critical mind, and don't expect editorials to do the thinking for you. There are no bias sliders for social media posts, where most information comes from these days, and we need to teach critical thinking instead of picking what we want to agree with or not.