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Ross et al. Hate Speech Against Refugees

Dataset of German annotated corpus of tweets regarding refugees in Germany. Tweets were sampled using 10 hateful hashtags and labelled by experts with 2 annotators per tweet. Annotator agreement is Krippendorf alpha of 0.38 (hate/not).

Data and Resources

Additional Info

Field Value
Paper Authors Ross, B., Rist, M., Carbonell, G., Cabrera, B., Kurowsky, N. and Wojatzki, M.
Author contact email Ross, B., Rist, M., Carbonell, G., Cabrera, B., Kurowsky, N. and Wojatzki, M.
Publication / paper reference Ross, B., Rist, M., Carbonell, G., Cabrera, B., Kurowsky, N. and Wojatzki, M., 2017. Measuring the Reliability of Hate Speech Annotations: The Case of the European Refugee Crisis. ArXiv,.
Publication / paper link https://arxiv.org/pdf/1701.08118.pdf
Publication Year
Dataset about page https://github.com/UCSM-DUE/IWG_hatespeech_public
Approved
Language(s) covered German
Source data platform(s) Twitter
Phenomena annotated Group-directed hate
Level of instances Single comment / post
Data statement link
Total number of instances in dataset 469 tweets
Proportion of positive/abusive instances NA
Submitter Laila Sprejer
Submitter Email sprejerlaila@gmail.com
State active