Cyberbullying detection for low-resource languages and dialects: Review of the state of the art
The struggle of social media platforms to moderate content in a timely manner, encourages
users to abuse such platforms to spread vulgar or abusive language, which, when …
users to abuse such platforms to spread vulgar or abusive language, which, when …
Towards multidomain and multilingual abusive language detection: a survey
Abusive language is an important issue in online communication across different platforms
and languages. Having a robust model to detect abusive instances automatically is a …
and languages. Having a robust model to detect abusive instances automatically is a …
Hatebert: Retraining bert for abusive language detection in english
In this paper, we introduce HateBERT, a re-trained BERT model for abusive language
detection in English. The model was trained on RAL-E, a large-scale dataset of Reddit …
detection in English. The model was trained on RAL-E, a large-scale dataset of Reddit …
SemEval-2020 task 12: Multilingual offensive language identification in social media (OffensEval 2020)
We present the results and main findings of SemEval-2020 Task 12 on Multilingual
Offensive Language Identification in Social Media (OffensEval 2020). The task involves …
Offensive Language Identification in Social Media (OffensEval 2020). The task involves …
Kuisail at semeval-2020 task 12: Bert-cnn for offensive speech identification in social media
In this paper, we describe our approach to utilize pre-trained BERT models with
Convolutional Neural Networks for sub-task A of the Multilingual Offensive Language …
Convolutional Neural Networks for sub-task A of the Multilingual Offensive Language …
Overview of the hasoc track at fire 2019: Hate speech and offensive content identification in indo-european languages
The identification of Hate Speech in Social Media is of great importance and receives much
attention in the text classification community. There is a huge demand for research for …
attention in the text classification community. There is a huge demand for research for …
Overview of the hasoc subtrack at fire 2021: Hate speech and offensive content identification in english and indo-aryan languages and conversational hate speech
The HASOC track is dedicated to the evaluation of technology for finding Offensive
Language and Hate Speech. HASOC is creating a multilingual data corpus mainly for …
Language and Hate Speech. HASOC is creating a multilingual data corpus mainly for …
Multilingual offensive language identification with cross-lingual embeddings
T Ranasinghe, M Zampieri - arXiv preprint arXiv:2010.05324, 2020 - arxiv.org
Offensive content is pervasive in social media and a reason for concern to companies and
government organizations. Several studies have been recently published investigating …
government organizations. Several studies have been recently published investigating …
Detection of homophobia and transphobia in YouTube comments
BR Chakravarthi - International Journal of Data Science and Analytics, 2024 - Springer
Users of online platforms have negative effects on their mental health as a direct result of the
spread of abusive content across social media networks. Homophobia are terms that refer to …
spread of abusive content across social media networks. Homophobia are terms that refer to …
Offensive language identification in Greek
Z Pitenis, M Zampieri, T Ranasinghe - arXiv preprint arXiv:2003.07459, 2020 - arxiv.org
As offensive language has become a rising issue for online communities and social media
platforms, researchers have been investigating ways of coping with abusive content and …
platforms, researchers have been investigating ways of coping with abusive content and …