A COVID-19 news coverage mood map of Europe

Frankie Robertson, Jarkko Lagus, Kaisla Kajava

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientific

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.

Original languageEnglish
Title of host publicationEACL Hackashop on News Media Content Analysis and Automated Report Generation : Proceedings
EditorsHannu Toivonen, Michele Boggia
Number of pages6
Place of PublicationStroudsburg
PublisherAssociation for Computational Linguistics (ACL)
Publication date2021
Pages110-115
ISBN (Electronic)978-1-954085-13-8
Publication statusPublished - 2021
MoE publication typeB3 Article in conference proceedings
EventConference of the European Chapter of the Association for Computational Linguistics - Virtual, online
Duration: 19 Apr 202119 Apr 2021
Conference number: 16
https://2021.eacl.org/

Fields of Science

  • 113 Computer and information sciences
  • 518 Media and communications

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