This project sought to understand how newspapers shaped public opinion during the 1918 influenza pandemic. Using data mining techniques combined with historical and rhetorical analysis to understand the flow of information about the spread and impact of disease, we explored hundreds of newspaper titles, including those from Chronicling America at the United States Library of Congress and the Peel’s Prairie Provinces collection at the University of Alberta Library.

For more information, contact Professor E. Thomas Ewing, Principal Investigator and Project Director, Department of History, Virginia Tech, at etewing@vt.edu.

Samah Gad, Computer Science Graduate Research Assistant; Bernice Hausman, Co-PI; and Tom Ewing, PI, discuss network analysis.