Abstract
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.- Anthology ID:
- 2021.hackashop-1.15
- Volume:
- Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation
- Month:
- April
- Year:
- 2021
- Address:
- Online
- Editors:
- Hannu Toivonen, Michele Boggia
- Venue:
- Hackashop
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 110–115
- Language:
- URL:
- https://aclanthology.org/2021.hackashop-1.15
- DOI:
- Cite (ACL):
- Frankie Robertson, Jarkko Lagus, and Kaisla Kajava. 2021. A COVID-19 news coverage mood map of Europe. In Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, pages 110–115, Online. Association for Computational Linguistics.
- Cite (Informal):
- A COVID-19 news coverage mood map of Europe (Robertson et al., Hackashop 2021)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-3/2021.hackashop-1.15.pdf