The whole article is quite funny, especially the lists of most used tankie words, or the branding of foreignpolicy as a left-wing news source.
The whole article is quite funny, especially the lists of most used tankie words, or the branding of foreignpolicy as a left-wing news source.
Just train a doc2vec regression on a dataset of designated bad papers, then apply to their articles. If you disagree with the regression just stir it until it looks right.
Good idea! Maybe we can use ChatGPT to do the stirring so it’s still machine-generated