Abstract:Building on our previous work, we assess how social solidarity towards migrants and refugees has changed before and after the onset of the COVID-19 pandemic, by collecting and analyzing a large, novel, and longitudinal dataset of migration-related tweets. To this end, we first annotate above 2000 tweets for (anti-) solidarity expressions towards immigrants, utilizing two annotation approaches (experts vs. crowds).On these annotations, we train a BERT model with multiple data augmentation strategies, which perf… Show more
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