Carnegie Mellon researchers say readers' identities can reveal much about content of articles
PITTSBURGH -- Articles that people share on social networks can reveal a lot about those readers, research has shown. But a new Carnegie Mellon University study reverses the proposition, asking the question: What can be learned about an article from the attributes of its readers?
To find out, the CMU researchers, along with colleagues at the University of Washington, analyzed almost 3 million news articles and the public profiles of the people who shared those articles on Twitter. This enabled them to generate a few thousand "badges" that characterized the content of ...