HATE SPAN DETECTION IN SOCIAL MEDIA CONTENT

This paper investigates the application of machine learning and deep learning techniques, specifically Bidirectional Long Short-Term Memory (BiLSTM) networks, for automating the identification of hate speech and offensive content, and achieves a considerable F1-score of hate span detection, marking a significant improvement over previous methods.