Data supplementary to the book chapter "COVID-19 and Changing Values"

doi: 10.4121/20134163.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/20134163
Datacite citation style:
de Wildt, Tristan; Ibo van de Poel (2022): Data supplementary to the book chapter "COVID-19 and Changing Values". Version 1. 4TU.ResearchData. dataset.
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

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.

  • 2022-06-27 first online, published, posted
All datasets and notebooks are saved into one zip file. The datasets are in CSV and the notebooks are python files (py).
  • ERC No 788321 ValueChange
TU Delft, Faculty of Technology, Policy and Management, Department of Engineering, Systems and Services


files (1)