Topic and Emotion Development among Dutch COVID-19 Twitter Communities in the early Pandemic

Boris Marinov, Jennifer Spenader, Tommaso Caselli


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.
Anthology ID:
2020.peoples-1.9
Volume:
Proceedings of the Third Workshop on Computational Modeling of People's Opinions, Personality, and Emotion's in Social Media
Month:
December
Year:
2020
Address:
Barcelona, Spain (Online)
Editors:
Malvina Nissim, Viviana Patti, Barbara Plank, Esin Durmus
Venue:
PEOPLES
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
87–98
Language:
URL:
https://aclanthology.org/2020.peoples-1.9
DOI:
Bibkey:
Cite (ACL):
Boris Marinov, Jennifer Spenader, and Tommaso Caselli. 2020. Topic and Emotion Development among Dutch COVID-19 Twitter Communities in the early Pandemic. In Proceedings of the Third Workshop on Computational Modeling of People's Opinions, Personality, and Emotion's in Social Media, pages 87–98, Barcelona, Spain (Online). Association for Computational Linguistics.
Cite (Informal):
Topic and Emotion Development among Dutch COVID-19 Twitter Communities in the early Pandemic (Marinov et al., PEOPLES 2020)
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PDF:
https://aclanthology.org/2020.peoples-1.9.pdf