Towards Efficient and Explainable Hate Speech Detection via Model Distillation (arXiv)
To stop hatred and nasty language from spreading online, automatic detection is crucial. By identifying and elucidating hate speech, we…
ReZG: Retrieval-augmented zero-shot counter narrative generation for hate speech (Neurocomputing)
In order to produce CNs with a high level of specificity for invisible targets, the authors suggest Retrieval-Augmented Zero-shot Generation…
Intent-conditioned and Non-toxic Counterspeech Generation using Multi-Task Instruction Tuning with RLAIF (ACL Anthology)
The paper presents CoARL, a unique framework that models the pragmatic consequences of social biases in hostile remarks, hence improving…
Two Weeks in Soft Security: Free Resources on Countering Extremism, Hate, and Disinformation, December 2024 (I/II)
Browse and read from a list of the 535 most popular LinkedIn resources dealing with soft counter-extremism, countering hate speech,…
Hate Speech According to the Law: An Analysis for Effective Detection (arXiv)
Hate speech is a problem that is not limited to the internet. Due to the issue’s practical consequences, the majority…
A survey on hate speech detection and sentiment analysis using machine learning and deep learning models (Alexandria Engineering Journal)
In an effort to solve this urgent problem, researchers have adopted machine learning and deep learning techniques to develop automated…
Two Weeks in Soft Security: Free Resources on Countering Extremism, Hate, and Disinformation, November 2024 (II/II)
Browse and read from a list of the 175 most popular LinkedIn resources dealing with soft counter-extremism, countering hate speech,…
Detection of hate: speech tweets based convolutional neural network and machine learning algorithms (scientific reports)
The article addresses a method for resolving this issue by feature engineering eleven classifiers for machine and deep learning that…
The Virality of Hate Speech on Social Media (arXiv)
What causes hate speech on social media to spread widely is not well understood. The researchers gather N = 25,219…
Generalizable Multilingual Hate Speech Detection on Low Resource Indian Languages using Fair Selection in Federated Learning (ACL Anthology)
Given the linguistic diversity and cultural subtleties of Indian languages, identifying hate speech on social media in these languages is…
MMHS: Multimodal Model for Hate Speech Intensity Prediction (Speech and Computer, Springer)
By normalizing hate speech and maintaining a balance between responsible communication and free expression, it is essential to accurately gauge…
Investigating the Predominance of Large Language Models in Low-Resource Bangla Language over Transformer Models for Hate Speech Detection: A Comparative Analysis (MDPI)
There are 35,197 comments in the training set, 7542 in the validation set, and 7542 in the test set of…