A literature review of textual hate speech detection methods and datasets
F Alkomah, X Ma - Information, 2022 - mdpi.com
Online toxic discourses could result in conflicts between groups or harm to online
communities. Hate speech is complex and multifaceted harmful or offensive content …
communities. Hate speech is complex and multifaceted harmful or offensive content …
Impact of word embedding models on text analytics in deep learning environment: a review
The selection of word embedding and deep learning models for better outcomes is vital.
Word embeddings are an n-dimensional distributed representation of a text that attempts to …
Word embeddings are an n-dimensional distributed representation of a text that attempts to …
[HTML][HTML] A systematic review of hate speech automatic detection using natural language processing
MS Jahan, M Oussalah - Neurocomputing, 2023 - Elsevier
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 …
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 …
Down the rabbit hole: Detecting online extremism, radicalisation, and politicised hate speech
Social media is a modern person's digital voice to project and engage with new ideas and
mobilise communities—a power shared with extremists. Given the societal risks of unvetted …
mobilise communities—a power shared with extremists. Given the societal risks of unvetted …
Advances in machine learning algorithms for hate speech detection in social media: a review
NS Mullah, WMNW Zainon - IEEE Access, 2021 - ieeexplore.ieee.org
The aim of this paper is to review machine learning (ML) algorithms and techniques for hate
speech detection in social media (SM). Hate speech problem is normally model as a text …
speech detection in social media (SM). Hate speech problem is normally model as a text …
A multi-task learning approach to hate speech detection leveraging sentiment analysis
FM Plaza-Del-Arco, MD Molina-González… - IEEE …, 2021 - ieeexplore.ieee.org
The rise of social media platforms has significantly changed the way our world
communicates, and part of those changes includes a rise in inappropriate behaviors, such …
communicates, and part of those changes includes a rise in inappropriate behaviors, such …
Tackling cyber-aggression: Identification and fine-grained categorization of aggressive texts on social media using weighted ensemble of transformers
The pervasiveness of aggressive content in social media has become a serious concern for
government organizations and tech companies because of its pernicious societal effects. In …
government organizations and tech companies because of its pernicious societal effects. In …
Evaluating feature combination strategies for hate-speech detection in spanish using linguistic features and transformers
JA García-Díaz, SM Jiménez-Zafra… - Complex & Intelligent …, 2023 - Springer
The rise of social networks has allowed misogynistic, xenophobic, and homophobic people
to spread their hate-speech to intimidate individuals or groups because of their gender …
to spread their hate-speech to intimidate individuals or groups because of their gender …
Deep learning for hate speech detection: a comparative study
Automated hate speech detection is an important tool in combating the spread of hate
speech, particularly in social media. Numerous methods have been developed for the task …
speech, particularly in social media. Numerous methods have been developed for the task …