Researchers mine 2.5M news articles to prove what we already know | Collaborationweb | Scoop.it
A group of British researchers recently analyzed 2.5 million newspaper articles in order to prove that new data analysis techniques, such as machine learning and natural-language processing, can accurately classify media content.

This research underscores the common big data maxim that knowing the right questions to ask is now the biggest challenge in gleaning insights from data. It’s increasingly easy to get data, analyze it and visualize it, so humans really just need to hypothesize and be able to explain the results. (This also seems like a good place to plug ScraperWiki as a great source for gathering potential research data from websites.)