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

de Wildt, Tristan; Ibo van de Poel (2022): Data supplementary to the book chapter "COVID-19 and Changing Values". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/20134163.v1

Dataset

• Other Health
• Applied Ethics

COVID-19 (coronavirus disease 2019), Probabilistic topic models, Value change, Value sensitive design

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Tristan de Wildt , Ibo van de Poel

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

4TU.ResearchData

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