Public Discourse about COVID-19 Vaccinations: A Computational Analysis of the Relationship between Public Concerns and Policies
Katarina Boland, Christopher Starke, Felix Bensmann, Frank, Marcinkowski, Stefan Dietze

TL;DR
This study analyzes Twitter discussions in the DACH region to understand how public concerns, especially about freedoms and vaccine safety, relate to policy changes and vaccination rates during COVID-19.
Contribution
It introduces a hybrid pipeline combining topic modeling and sentiment analysis to examine public discourse and its relation to policy phases in the COVID-19 vaccination debate.
Findings
Public skepticism about COVID-19 severity and vaccine safety was prevalent.
Debates on freedom and civic liberties dominated the discourse.
Policy restrictions correlated with increased vaccination uptake but also heightened polarization.
Abstract
Societies worldwide have witnessed growing rifts separating advocates and opponents of vaccinations and other COVID-19 countermeasures. With the rollout of vaccination campaigns, German-speaking regions exhibited much lower vaccination uptake than other European regions. While Austria, Germany, and Switzerland (the DACH region) caught up over time, it remains unclear which factors contributed to these changes. Scrutinizing public discourses can help shed light on the intricacies of vaccine hesitancy and inform policy-makers tasked with making far-reaching decisions: policies need to effectively curb the spread of the virus while respecting fundamental civic liberties and minimizing undesired consequences. This study draws on Twitter data to analyze the topics prevalent in the public discourse. It further maps the topics to different phases of the pandemic and policy changes to identify…
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Taxonomy
TopicsMisinformation and Its Impacts · Hate Speech and Cyberbullying Detection · Sentiment Analysis and Opinion Mining
