Submission Date
7-21-2023
Document Type
Paper
Department
Mathematics
Second Department
Computer Science
Faculty Mentor
Hugo M. Montesinos-Yufa
Project Description
This study examines the change in connotative language use before and during the Covid-19 pandemic. By analyzing news articles from several major US newspapers, we found that there is a statistically significant correlation between the sentiment of the text and the publication period. Specifically, we document a large, systematic, and statistically significant decline in the overall sentiment of articles published in major news outlets. While our results do not directly gauge the sentiment of the population, our findings have important implications regarding the social responsibility of journalists and media outlets especially in times of crisis.
Recommended Citation
Musgrove, Emily, "Sentiment Analysis Before and During the Covid-19 Pandemic" (2023). Mathematics Summer Fellows. 17.
https://digitalcommons.ursinus.edu/math_sum/17
Open Access
Available to all.
Included in
Applied Mathematics Commons, Applied Statistics Commons, Computer Sciences Commons, Mathematics Commons
Comments
Presented during the 25th Annual Summer Fellows Symposium, July 21, 2023 at Ursinus College.