A COVID-19 news coverage mood map of Europe

Robertson, Frankie; Lagus, Jarkko; Kajava, Kaisla

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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/

Tekijät

Robertson, Frankie |

Lagus, Jarkko |

Kajava, Kaisla

Toimittajat

Toivonen, Hannu |

Boggia, Michele

Päivämäärä

2021

Tekijänoikeudet

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.

Julkaisija

Association for Computational Linguistics

Emojulkaisun ISBN

978-1-954085-13-8

Konferenssi

EACL Hackashop

Kuuluu julkaisuun

Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation

Lisenssi

Ellei muuten mainita, aineiston lisenssi on CC BY 4.0

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