This project seeks to understand how newspapers shaped public opinion during the 1918 influenza pandemic. Using data mining techniques combined with historical and rhetorical analysis, we explore 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, to understand the flow of information about the spread and impact of disease.

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.