The purpose of this study is to analyse COVID-19 related news published across different geographical places, in order to gain insights in reporting differences. We performed pooling of news articles based on information retrieval using TF-IDF score in a data processing step and topic modeling using LDA with combination of 1 to 6 ngrams. We used VADER sentiment analyzer to explore the differences in sentiments in news articles reported across different geographical places.
Recommended citation: A. Sittar, D. Major, C. Mello, D. Mladenić and M. Grobelnik, “Political and Economic Patterns in COVID-19 News: From Lockdown to Vaccination,” in IEEE Access , vol. 10, pp. 40036-40050, 2022, doi: 10.1109/ACCESS.2022.3164692.