The challenges and approaches during the detection of cyberbullying text for low-resource language: A literature review
MN Hoque, P Chakraborty… - ECTI Transactions on …, 2023 - ph01.tci-thaijo.org
Objective: The primary intent of this paper is to review related studies that are more
corresponding to the detection offive variants of cyberbullying text, such as abusive, hateful …
corresponding to the detection offive variants of cyberbullying text, such as abusive, hateful …
Toxic language detection: A systematic review of Arabic datasets
The detection of toxic language in the Arabic language has emerged as an active area of
research in recent years, and reviewing the existing datasets employed for training the …
research in recent years, and reviewing the existing datasets employed for training the …
Offensive language detection for low resource language using deep sequence model
Social media platforms are heavily used by people to express their views in their native
languages. Besides positive views, people often use abusive or offensive language to …
languages. Besides positive views, people often use abusive or offensive language to …
Accounting for offensive speech as a practice of resistance
Tasks such as toxicity detection, hate speech detection, and online harassment detection
have been developed for identifying interactions involving offensive speech. In this work we …
have been developed for identifying interactions involving offensive speech. In this work we …
How do you feel? measuring user-perceived value for rejecting machine decisions in hate speech detection
Hate speech moderation remains a challenging task for social media platforms. Human-AI
collaborative systems offer the potential to combine the strengths of humans' reliability and …
collaborative systems offer the potential to combine the strengths of humans' reliability and …
Unveiling the toxic leadership culture in south African universities: authoritarian behaviour, cronyism and self-serving practices
Introduction Toxicity among staff members of higher education institutions (HEIs) is often
under-reported or not reported at all. Experiences of toxic leadership are deemed …
under-reported or not reported at all. Experiences of toxic leadership are deemed …
“Why do I feel offended?”-Korean Dataset for Offensive Language Identification
Warning: This paper contains some offensive expressions. Offensive content is an
unavoidable issue on social media. Most existing offensive language identification methods …
unavoidable issue on social media. Most existing offensive language identification methods …
Vicinal risk minimization for few-shot cross-lingual transfer in abusive language detection
G De la Peña Sarracén, P Rosso… - Proceedings of the …, 2023 - aclanthology.org
Cross-lingual transfer learning from high-resource to medium and low-resource languages
has shown encouraging results. However, the scarcity of resources in target languages …
has shown encouraging results. However, the scarcity of resources in target languages …
Toxic language detection: a systematic review of Arabic datasets
The detection of toxic language in the Arabic language has emerged as an active area of
research in recent years, and reviewing the existing datasets employed for training the …
research in recent years, and reviewing the existing datasets employed for training the …
Linguistically Differentiating Acts and Recalls of Racial Microaggressions on Social Media
In this work, we examine the linguistic signature of online racial microaggressions (acts) and
how it differs from that of personal narratives recalling experiences of such aggressions …
how it differs from that of personal narratives recalling experiences of such aggressions …