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…
Averting and Countering Online Hatred.
To stop hatred and nasty language from spreading online, automatic detection is crucial. By identifying and elucidating hate speech, we…
In order to produce CNs with a high level of specificity for invisible targets, the authors suggest Retrieval-Augmented Zero-shot Generation…
The paper presents CoARL, a unique framework that models the pragmatic consequences of social biases in hostile remarks, hence improving…
Browse and read from a list of the 535 most popular LinkedIn resources dealing with soft counter-extremism, countering hate speech,…
A number of laws have been introduced by the European Union with the intention of changing this. The regulation on…
The thoroughness of the study and its emphasis on social media platforms as a public forum and a haven for…
Hate speech is a problem that is not limited to the internet. Due to the issue’s practical consequences, the majority…
In an effort to solve this urgent problem, researchers have adopted machine learning and deep learning techniques to develop automated…
Browse and read from a list of the 175 most popular LinkedIn resources dealing with soft counter-extremism, countering hate speech,…
The article addresses a method for resolving this issue by feature engineering eleven classifiers for machine and deep learning that…
What causes hate speech on social media to spread widely is not well understood. The researchers gather N = 25,219…
Given the linguistic diversity and cultural subtleties of Indian languages, identifying hate speech on social media in these languages is…