case_images: PMC9469823_01
case_images: Temporal typicalities of muslimban, refugeeswelcome and rapefugees for every year in the studied dataset
case_images: 42489_2022_114_Fig3_HTML.jpg
case_images: PMC9469823_01_42489_2022_114_Fig3_HTML.jpg
case_images: Fig3
case_images: The typicality of refugeeswelcome also coincides with the years when the movement was popular (Fig. 3). The temporal typicality of rapefugees (Fig. 3) show us that the hashtag was widely used in 2016 and 2018.
case_images: Figure refugeeswelcome
  a spatial typicality b co-occuring hashtags in July, 2018, Germany
case_images: 42489_2022_114_Fig5_HTML.jpg
case_images: PMC9469823_01_42489_2022_114_Fig5_HTML.jpg
case_images: Fig5
case_images: However, this time to reduce the effect of the overwhelming prevalence of English, Fig. 5b shows co-occurring hashtags of refugeeswelcome used in Germany during the month of July, 2018. Figure 5a shows the spatial typicality of the hashtag.
case_images: Figure rapefugees
  a spatial typicality b co-occuring hashtags in German tweets
case_images: 42489_2022_114_Fig6_HTML.jpg
case_images: PMC9469823_01_42489_2022_114_Fig6_HTML.jpg
case_images: Fig6
case_images: This clustering of hashtags of solidarity is also found on the contra spectrum of opinions as can be demonstrated with the hashtag rapefugees (Fig. 6b). Furthermore, the spatial typicality of the hashtag (Fig. 6a) does also show their use spatially.
case_images: Spatial typicality a refugees b
  migranti
  c
  migrants
  d refugies
case_images: 42489_2022_114_Fig7_HTML.jpg
case_images: PMC9469823_01_42489_2022_114_Fig7_HTML.jpg
case_images: Fig7
case_images: These maps can be seen in Fig. 7.