> Step 2: Using sentence embedding, we identify any headlines that are related and choose these headlines as the subject of the article. The idea here is that i

> Step 2: Using sentence embedding, we identify any headlines that are related and choose these headlines as the subject of the article. The idea here is that if a story has multiple related headlines across different sources, it is more likely to be of greater importance than a story with none or only one related headline. This helps us determine which story to focus on and write an article about. Step 2 seems like a process to directly bias the inputs based on the popularity of each outlet. Or rather two processes, one hidden, because the outlets aren't selecting themselves. Why wouldn't this just be a wire service and press release detector?