Researchers at Cornell, using powerful computers and clever algorithms, studied the news cycle by looking for repeated phrases and tracking their appearances on 1.6 million mainstream media sites and blogs. Some 90 million articles and blog posts, which appeared from August through October, were scrutinized with their phrase-finding software.