Resources and benchmark corpora for hate speech detection: a systematic review
Hate Speech in social media is a complex phenomenon, whose detection has recently
gained significant traction in the Natural Language Processing community, as attested by …
gained significant traction in the Natural Language Processing community, as attested by …
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 …
A literature survey on multimodal and multilingual automatic hate speech identification
A Chhabra, DK Vishwakarma - Multimedia Systems, 2023 - Springer
Social media is a more common and powerful platform for communication to share views
about any topic or article, which consequently leads to unstructured toxic, and hateful …
about any topic or article, which consequently leads to unstructured toxic, and hateful …
Arabic offensive and hate speech detection using a cross-corpora multi-task learning model
As social media platforms offer a medium for opinion expression, social phenomena such as
hatred, offensive language, racism, and all forms of verbal violence have increased …
hatred, offensive language, racism, and all forms of verbal violence have increased …
A survey of offensive language detection for the Arabic language
F Husain, O Uzuner - ACM Transactions on Asian and Low-Resource …, 2021 - dl.acm.org
The use of offensive language in user-generated content is a serious problem that needs to
be addressed with the latest technology. The field of Natural Language Processing (NLP) …
be addressed with the latest technology. The field of Natural Language Processing (NLP) …
A deep learning framework for automatic detection of hate speech embedded in Arabic tweets
R Duwairi, A Hayajneh, M Quwaider - Arabian Journal for Science and …, 2021 - Springer
In this paper, we investigate the ability of CNN, CNN-LSTM, and BiLSTM-CNN deep
learning networks to automatically classify or discover hateful content posted on social …
learning networks to automatically classify or discover hateful content posted on social …
Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification …
The goal of the PAN lab is to advance the state of the art in text forensics and stylometry
through an objective evaluation of new and established methods on new benchmark …
through an objective evaluation of new and established methods on new benchmark …
[PDF][PDF] Overview of the multilingual text detoxification task at pan 2024
Despite different countries and social platform regulations, digital abusive speech persists
as a significant challenge. One of the way to tackle abusive, or more specifically, toxic …
as a significant challenge. One of the way to tackle abusive, or more specifically, toxic …
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 …
Comparative performance of machine learning and deep learning algorithms for Arabic hate speech detection in osns
Abstract Nowadays, Online Social Networks (OSNs) are the most popular and interactive
media that used to express feelings, communicate and share information between people …
media that used to express feelings, communicate and share information between people …