The researchers in this paper use an astonishingly biased "fake paper detector", requiring only two conditions to be met for any paper to be considered "fake": 1. Use a non-institutional email address, or have a hospital affiliation, 2. Have no international co-authors. And they acknowledge 86% sensitivity and 44% specificity. It's a coin-toss which biases massively against research from outside the US and Western Eu…
Paper mills are a $3-4 billion dollar industry that is growing rapidly. That money isn't coming from nowhere. There are a lot of fake papers, and the fake paper industry is growing steadily.
So then the question becomes "where are those fake papers being published, and by whom."
You can converge on answers to those questions in a lot of ways. The fake paper detection method is suggested as one tool to aid journals tackle fraud.
If you don't think the conditions are valid, well, ok. But why not? How would you improve on the validation methodology? Obviously having more known fakes would be nice.
Saying the article is "bigoted nonsense" doesn't make a lot of sense without more information (to be fair, I might be lacking crucial context). Are the authors known bigots with history of pushing bigotry? What I read seemed to be a sincere attempt to improve scientific publication practices by identifying the scope and scale of the fraud problem, while also developing means to address it. That doesn't strike me as bigoted nonsense.
That said, the headline of the article is pretty click-baity, and shame on science's editors for that.