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

2021-04-20Code Available0· sign in to hype

Kristen Scott, Pieter Delobelle, Bettina Berendt

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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.

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