[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 …
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 …
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 …
Deephateexplainer: Explainable hate speech detection in under-resourced bengali language
In this paper, we propose an explainable approach for hate speech detection from the under-
resourced Bengali language, which we called DeepHateExplainer. In our approach, Bengali …
resourced Bengali language, which we called DeepHateExplainer. In our approach, Bengali …
[HTML][HTML] A survey on hate speech detection and sentiment analysis using machine learning and deep learning models
M Subramanian, VE Sathiskumar… - Alexandria Engineering …, 2023 - Elsevier
In today's digital era, the rise of hate speech has emerged as a critical concern, driven by the
rapid information-sharing capabilities of social media platforms and online communities. As …
rapid information-sharing capabilities of social media platforms and online communities. As …
Culturellm: Incorporating cultural differences into large language models
Large language models (LLMs) are reported to be partial to certain cultures owing to the
training data dominance from the English corpora. Since multilingual cultural data are often …
training data dominance from the English corpora. Since multilingual cultural data are often …
Data bootstrapping approaches to improve low resource abusive language detection for indic languages
Abusive language is a growing concern in many social media platforms. Repeated exposure
to abusive speech has created physiological effects on the target users. Thus, the problem of …
to abusive speech has created physiological effects on the target users. Thus, the problem of …
L3cube-mahahate: A tweet-based marathi hate speech detection dataset and bert models
A Velankar, H Patil, A Gore, S Salunke… - arXiv preprint arXiv …, 2022 - arxiv.org
Social media platforms are used by a large number of people prominently to express their
thoughts and opinions. However, these platforms have contributed to a substantial amount …
thoughts and opinions. However, these platforms have contributed to a substantial amount …
Multilingual abusive comment detection at scale for indic languages
V Gupta, S Roychowdhury, M Das… - Advances in …, 2022 - proceedings.neurips.cc
Social media platforms were conceived to act as online town squares' where people could
get together, share information and communicate with each other peacefully. However …
get together, share information and communicate with each other peacefully. However …