PandevitA in PUBLICATIONS
Pandevita in PUBLICATIONS
A paper submitted by Caralampos Ntompras, Georges Drosatos and Eleni Kaldoudi on " A high-resolution temporal and geospatial content analysis of Twitter posts related to the COVID-19 pandemic" was published. In this study, probabilistic text mining techniques are used for a large-scale, high-resolution, temporal and spatial content analysis of Twitter discussions. The analysis considered 20,230,833 original COVID-19-related English-language tweets with global origins retrieved between January 2020 and April 2020, and identified 91 meaningful topics. Most topics showed a temporal development with local maxima, which underlines the short-lived nature of discussions in Twitter.
In addition, Frans Folkvord, Lutz Peschke, Karlijn Van Houten, Giacomo Stazi, and Francisco Lupianez Villanueva published their paper "Preferences in the willingness to download a Covid tracing app: An experimental study in the Netherlands and Turkey " in JMIR Formative Research. This paper presents findings on willingness to volunteer in the context of COVID-19 tracking applications. It shows that privacy and gaming elements are factors that influence the willingness to download a COVID-19 CTA. It becomes clear that privacy is an important factor explaining the willingness to download the app in Turkey, while the inclusion of game elements significantly influences the willingness to download the app in the Netherlands.