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[HTML][HTML] A systematic review of hate speech automatic detection using natural language processing
With the multiplication of social media platforms, which offer anonymity, easy access and
online community formation and online debate, the issue of hate speech detection and …
online community formation and online debate, the issue of hate speech detection and …
Detecting harmful content on online platforms: what platforms need vs. where research efforts go
The proliferation of harmful content on online platforms is a major societal problem, which
comes in many different forms, including hate speech, offensive language, bullying and …
comes in many different forms, including hate speech, offensive language, bullying and …
Culturellm: Incorporating cultural differences into large language models
Large language models (LLMs) have been observed to exhibit bias towards certain cultures
due to the predominance of training data obtained from English corpora. Considering that …
due to the predominance of training data obtained from English corpora. Considering that …
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 …
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 …
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 …
ETHOS: a multi-label hate speech detection dataset
Online hate speech is a recent problem in our society that is rising at a steady pace by
leveraging the vulnerabilities of the corresponding regimes that characterise most social …
leveraging the vulnerabilities of the corresponding regimes that characterise most social …
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
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 …