L-HSAB: A Levantine Twitter Dataset for Hate Speech and Abusive Language
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Tarih
2019
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Assoc Computational Linguistics-Acl
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Hate speech and abusive language have become a common phenomenon on Arabic social media. Automatic hate speech and abusive detection systems can facilitate the prohibition of toxic textual contents. The complexity, informality and ambiguity of the Arabic dialects hindered the provision of the needed resources for Arabic abusive/hate speech detection research. In this paper, we introduce the first publicly-available Levantine Hate Speech and Abusive (L-HSAB) Twitter dataset with the objective to be a benchmark dataset for automatic detection of online Levantine toxic contents. We, further, provide a detailed review of the data collection steps and how we design the annotation guidelines such that a reliable dataset annotation is guaranteed. This has been later emphasized through the comprehensive evaluation of the annotations as the annotation agreement metrics of Cohen's Kappa (k) and Krippendorff's alpha (alpha) indicated the consistency of the annotations.
Açıklama
3rd Workshop on Abusive Language Online -- AUG 01, 2019 -- Florence, ITALY
Anahtar Kelimeler
Kaynak
Third Workshop on Abusive Language Online
WoS Q Değeri
N/A