Cultural (un)employment in COVID-19 times using the Global Datasets of Events Location and Tone
In this brief, we utilise a freely available dataset called the Global Dataset of Events, Location, and Tone (GDELT), an open, big data platform of meta-information extracted from broadcast, print, and web news collected worldwide and translated nearly in real-time into English from over 65 different languages, to analyse the effect of the COVID-19 pandemic on the media coverage of the ‘cultural (un)employment’ topic across 28 European countries (27 Member States plus UK) along two dimensions: article quantity (or popularity) and sentiment. We refine the analysis by focusing on connected topics that may drive the observed results, such as a general concern (or negative sentiment) towards unemployment in the overall economy.
CONSOLI Sergio;
MONTALTO Valentina;
2023-01-26
European Commission
JRC132409
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