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Averting and Countering Online Hatred.
Glimpse: This research presents a multilingual semisupervised model that combines XLM-RoBERTa and mBERT, or more specifically, Generative Adversarial Networks (GANs)…
Browse and read from a list of the 200 most popular LinkedIn resources dealing with soft counter-extremism and countering hate…
Browse and read from a list of the 155 most popular LinkedIn resources dealing with soft counter-extremism and countering hate…
In order to improve hate speech identification, this research study investigates the use of text categorization and natural language processing…
Because social media platforms are so widely used, it becomes necessary to automatically recognize and flag instances of hate speech.…
The study suggests a novel strategy to improve hate speech detection’s efficacy and efficiency. The authors present a model based…
Browse and read from a list of the 195 most popular LinkedIn resources dealing with soft counter-extremism and countering hate…
In this study, the body of research on the efficacy of various safety precautions taken by some internet platforms to…
One technology used to identify dangerous information, such hate speech, is automated classifiers. People’s experiences of damage occurring online can…
This paper examines hate speech and counter-speech practices in the media, drawing on the speech act theory and the theory…
Big language models (LLMs) perform exceptionally well in a wide range of applications, such as sentiment analysis, translation, and summarization,…
Driven by differences in labeling, the field of natural language processing research has started to accept the concept of annotator…