They were able to show that the regional meaning of words can successfully be carried by word embeddings, for example the word "wicked" was most similar to the word "evil" in Kansas, while in Massachusetts, it was most similar to "super" (based on the cosine similarity of the words' vectorial representation).
6 This ensures that the maximum amount of data will be available for the selected users.