This dataset and notebook correspond to the chapter "COVID-19 and Changing Values" in the book "Values for a Post-Pandemic Future" (Springer). In the article, we study value change due to the corona pandemic. With the help of topic modelling, we analysed COVID-related news articles for changes in the frequency of how often these news articles address eleven different values. We have collected the data from a number of newspaper datasets (incl. Reuters). The dataset and notebook uploaded here can be used to re-do the analysis.
Funding
ERC No 788321 ValueChange
History
Publisher
4TU.ResearchData
Format
All datasets and notebooks are saved into one zip file. The datasets are in CSV and the notebooks are python files (py).
Organizations
TU Delft, Faculty of Technology, Policy and Management, Department of Engineering, Systems and Services