A COVID-19 news coverage mood map of Europe
Robertson, F., Lagus, J., & Kajava, K. (2021). A COVID-19 news coverage mood map of Europe. In H. Toivonen, & M. Boggia (Eds.), Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation (pp. 110-115). Association for Computational Linguistics. https://aclanthology.org/2021.hackashop-1.15/
Date
2021Copyright
© Association for Computational Linguistics, 2021
We present a COVID-19 news dashboard which visualizes sentiment in pandemic news coverage in different languages across Europe. The dashboard shows analyses for positive/neutral/negative sentiment and moral sentiment for news articles across countries and languages. First we extract news articles from news-crawl. Then we use a pre-trained multilingual BERT model for sentiment analysis of news article headlines and a dictionary and word vectors -based method for moral sentiment analysis of news articles. The resulting dashboard gives a unified overview of news events on COVID-19 news overall sentiment, and the region and language of publication from the period starting from the beginning of January 2020 to the end of January 2021.
Publisher
Association for Computational LinguisticsParent publication ISBN
978-1-954085-13-8Conference
EACL HackashopIs part of publication
Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation
Original source
https://aclanthology.org/2021.hackashop-1.15/Publication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/100364589
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Except where otherwise noted, this item's license is described as CC BY 4.0