A COVID-19 news coverage mood map of Europe

Frankie Robertson, Jarkko Lagus, Kaisla Kajava

Forskningsoutput: Kapitel i bok/rapport/konferenshandlingKonferensbidragVetenskaplig

Sammanfattning

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.

Originalspråkengelska
Titel på värdpublikationEACL Hackashop on News Media Content Analysis and Automated Report Generation : Proceedings
RedaktörerHannu Toivonen, Michele Boggia
Antal sidor6
UtgivningsortStroudsburg
FörlagAssociation for Computational Linguistics (ACL)
Utgivningsdatum2021
Sidor110-115
ISBN (elektroniskt)978-1-954085-13-8
StatusPublicerad - 2021
MoE-publikationstypB3 Ej refererad artikel i konferenshandlingar
EvenemangConference of the European Chapter of the Association for Computational Linguistics - [Virtual conference]
Varaktighet: 19 apr. 202123 apr. 2021
Konferensnummer: 16
https://2021.eacl.org/

Bibliografisk information

Publisher Copyright:
© Association for Computational Linguistics

Vetenskapsgrenar

  • 113 Data- och informationsvetenskap
  • 518 Medie- och kommunikationsvetenskap

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