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OPSD: an Offensive Persian Social media Dataset and its baseline evaluations
April 9, 2024, 4:43 a.m. | Mehran Safayani, Amir Sartipi, Amir Hossein Ahmadi, Parniyan Jalali, Amir Hossein Mansouri, Mohammad Bisheh-Niasar, Zahra Pourbahman
cs.LG updates on arXiv.org arxiv.org
Abstract: The proliferation of hate speech and offensive comments on social media has become increasingly prevalent due to user activities. Such comments can have detrimental effects on individuals' psychological well-being and social behavior. While numerous datasets in the English language exist in this domain, few equivalent resources are available for Persian language. To address this gap, this paper introduces two offensive datasets. The first dataset comprises annotations provided by domain experts, while the second consists of …
abstract arxiv become behavior cs.ai cs.cl cs.lg dataset datasets domain effects english english language hate speech language media social social media speech type
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