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- W4283712024 abstract "The spread of hate speech may induce hate crimes, cyber violence, and cause great harm to the security of both cyberspace and physical society. Therefore, it has become a crucial issue for both governments and academic researchers. To help supervise online hate speech, this paper creates a Russian corpus of 20,476 comments, which are annotated for hate speech. The created corpus could develop to be a reference dataset for online media security monitoring system that automatically detects the hate speech. Besides, how the multi-dimensional annotation scheme was designed and applied to the corpus is also discussed in this paper. Specifically, a multi-dimensional labeling method is proposed to better model the different aspects of the hate speech, thereby reducing the inconsistency of the results that may be introduced by different annotators. We also compare the annotations that made by expert annotators and native students, the results prove the effectiveness of our proposed annotation scheme." @default.
- W4283712024 created "2022-06-30" @default.
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- W4283712024 date "2022-05-01" @default.
- W4283712024 modified "2023-09-26" @default.
- W4283712024 title "A Russian Hate Speech Corpus for Cybersecurity Applications" @default.
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- W4283712024 doi "https://doi.org/10.1109/bigdatasecurityhpscids54978.2022.00018" @default.
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