@inproceedings{parent-etal-2025-annotating,
    title = "Annotating Hate Speech towards Identity Groups",
    author = {Parent, Donnie  and
      Georgiades, Nina  and
      Mishra, Charvi  and
      Mohammed, Khaled  and
      K{\"u}bler, Sandra},
    editor = "Angelova, Galia  and
      Kunilovskaya, Maria  and
      Escribe, Marie  and
      Mitkov, Ruslan",
    booktitle = "Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era",
    month = sep,
    year = "2025",
    address = "Varna, Bulgaria",
    publisher = "INCOMA Ltd., Shoumen, Bulgaria",
    url = "https://preview.aclanthology.org/corrections-2026-01/2025.ranlp-1.102/",
    pages = "894--899",
    abstract = "Detecting hate speech, especially implicit hate speech, is a difficult task. We focus on annotating implicit hate targeting identity groups. We describe our dataset, which is a subset of AbuseEval (Caselli et al., 2020) and our annotation process for implicit identity hate. We annotate the type of abuse, the type of identity abuse, and the target identity group. We then discuss cases that annotators disagreed on and provide dataset statistics. Finally, we calculate our inter-annotator agreement."
}