@inproceedings{marinov-etal-2020-topic,
    title = "Topic and Emotion Development among {D}utch {COVID}-19 {T}witter Communities in the early Pandemic",
    author = "Marinov, Boris  and
      Spenader, Jennifer  and
      Caselli, Tommaso",
    editor = "Nissim, Malvina  and
      Patti, Viviana  and
      Plank, Barbara  and
      Durmus, Esin",
    booktitle = "Proceedings of the Third Workshop on Computational Modeling of People's Opinions, Personality, and Emotion's in Social Media",
    month = dec,
    year = "2020",
    address = "Barcelona, Spain (Online)",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2020.peoples-1.9/",
    pages = "87--98",
    abstract = "The paper focuses on a large collection of Dutch tweets from the Netherlands to get an insight into the perception and reactions of users during the early months of the COVID-19 pandemic. We focused on five major user communities of users: government and health organizations, news media, politicians, the general public and conspiracy theory supporters, investigating differences among them in topic dominance and the expressions of emotions. Through topic modeling we monitor the evolution of the conversation about COVID-19 among these communities. Our results indicate that the national focus on COVID-19 shifted from the virus itself to its impact on the economy between February and April. Surprisingly, the overall emotional public response appears to be substantially positive and expressing trust, although differences can be observed in specific group of users."
}