English

Measuring Shifts in Attitudes Towards COVID-19 Measures in Belgium Using Multilingual BERT

Computation and Language 2021-04-21 v1 Social and Information Networks

Abstract

We classify seven months' worth of Belgian COVID-related Tweets using multilingual BERT and relate them to their governments' COVID measures. We classify Tweets by their stated opinion on Belgian government curfew measures (too strict, ok, too loose). We examine the change in topics discussed and views expressed over time and in reference to dates of related events such as implementation of new measures or COVID-19 related announcements in the media.

Keywords

Cite

@article{arxiv.2104.09947,
  title  = {Measuring Shifts in Attitudes Towards COVID-19 Measures in Belgium Using Multilingual BERT},
  author = {Kristen Scott and Pieter Delobelle and Bettina Berendt},
  journal= {arXiv preprint arXiv:2104.09947},
  year   = {2021}
}

Comments

5 pages, 2 figures