Papers by Daniela Grunow
Changes in European Solidarity Before and During COVID-19: Evidence from a Large Crowd- and Expert-Annotated Twitter Dataset (2021.acl-long)
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| Challenge: | Using supervised machine learning, we assess how solidarity discourses changed before and during the COVID-19 crisis. |
| Approach: | They use social scientific concept of solidarity and its contestation, anti-solidarity, as problem setting to assess how European solidarity discourses changed before and during COVID-19. |
| Outcome: | The proposed model outperforms the baseline classifier with expert annotations by 25 points, from 58% macro-F1 to almost 85%. |