@inproceedings{robertson-etal-2021-covid,
    title = "A {COVID}-19 news coverage mood map of {E}urope",
    author = "Robertson, Frankie  and
      Lagus, Jarkko  and
      Kajava, Kaisla",
    editor = "Toivonen, Hannu  and
      Boggia, Michele",
    booktitle = "Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation",
    month = apr,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2021.hackashop-1.15/",
    pages = "110--115",
    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."
}