Result: Improved understanding of historical public discourse during the 1918 influenza pandemic.
The project links its audience to its goals and values by making large-scaled historical newspapers interpretabe. Combining topic modeling, temporal segmentation, and tone classification with ThemeDelta visualization, the project allows users to see how newspapers shaped public opinion, represented authority, and framed health information during the pandemic. Scholars were able to use this information to understand failure, students are able to accessible historical data regarding this influenza understanding texts and reporting.