Background The proliferation of hate speech on social media platforms poses significant challenges to maintaining respectful online environments. While traditional hate speech detection methods rely ...

The importance of hate speech detection in online communities thus leans heavily on advanced technology, namely AI-driven screening. Artificial intelligence offers measurable advancements over manual ...

Researchers have developed a new way to automatically detect hate speech on social media platforms more accurately and consistently using a new multi-task learning (MTL) model; a type of machine ...

GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.

Saleh, H., Alhothali, A., & Moria, K. (2023). Detection of Hate Speech Using BERT and Hate Speech Word Embedding with Deep Model. Applied Artificial Intelligence, 37 ...

This package called FADAR, the Fish Acoustic Detection Algorithm Research is a standalone user-friendly application developed in Matlab™. The concept of FADAR is the product of the evaluation of ...

Hate speech on online platforms, characterized by discriminatory language targeting individuals or groups, poses significant harm and necessitates robust detection methods for digital safety.