Investigator:
Peter Enns, Government
Collection Type:
Arts & Sciences
Year:
2012
Digitization and OCR (conversion of images into machine-readable text) of a sample of newspapers will allow the textual analysis of how changes in campaign sources influence candidates’ political speech. Supporting research and teaching, this project will encourage collaboration with computer scientists at Cornell who are developing content analysis tools. The pilot will also support a grant proposal to the NSF in order to broaden this research to additional political districts.