Dashboard of sentiment in Austrian social media during COVID-19
- URL: http://arxiv.org/abs/2006.11158v1
- Date: Fri, 19 Jun 2020 14:42:38 GMT
- Title: Dashboard of sentiment in Austrian social media during COVID-19
- Authors: Max Pellert, Jana Lasser, Hannah Metzler and David Garcia
- Abstract summary: We build a self-updating monitor of emotion dynamics using digital traces from three different data sources.
We use web scraping and API access to retrieve data from the news platform derstandard.at, Twitter and a chat platform for students.
We document the technical details of our workflow in order to provide materials for other researchers interested in building a similar tool.
- Score: 0.12656629989060433
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: To track online emotional expressions of the Austrian population close to
real-time during the COVID-19 pandemic, we build a self-updating monitor of
emotion dynamics using digital traces from three different data sources. This
enables decision makers and the interested public to assess issues such as the
attitude towards counter-measures taken during the pandemic and the possible
emergence of a (mental) health crisis early on. We use web scraping and API
access to retrieve data from the news platform derstandard.at, Twitter and a
chat platform for students. We document the technical details of our workflow
in order to provide materials for other researchers interested in building a
similar tool for different contexts. Automated text analysis allows us to
highlight changes of language use during COVID-19 in comparison to a neutral
baseline. We use special word clouds to visualize that overall difference.
Longitudinally, our time series show spikes in anxiety that can be linked to
several events and media reporting. Additionally, we find a marked decrease in
anger. The changes last for remarkably long periods of time (up to 12 weeks).
We discuss these and more patterns and connect them to the emergence of
collective emotions. The interactive dashboard showcasing our data is available
online under http://www.mpellert.at/covid19_monitor_austria/. Our work has
attracted media attention and is part of an web archive of resources on
COVID-19 collected by the Austrian National Library.
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