My main applied research interests are in mass media and political communication, public opinion, and public policy. In my methodological work, I develop tools of measurement for text, networks, and surveys. I have been collaborating with social and computer scientists to analyze the framing of policy issues and measure communicator ideology within large corpora of text. We seek to combine aspects of qualitatively rich content analysis with modern methods from machine learning and natural language processing, making use of the comparative advantages of both human and computational efforts. I am especially interested in the challenge of detecting abstract ideas in text and measuring their diffusion through communication networks.