Large-scale automated analysis of news media: A novel computational method for obesity policy research: Novel Media Analysis of Obesity Framing

Analyzing news media allows obesity policy researchers to understand popular conceptions about obesity, which is important for targeting health education and policies. A persistent dilemma is that investigators have to read and manually classify thousands of individual news articles to identify how obesity and obesity-related policy proposals may be described to the public in the media. We demonstrate a novel method called “automated content analysis” that permits researchers to train computers to “read” and classify massive volumes of documents