Toxic Comment

Toxic online comments, encompassing hate speech, harassment, and other forms of abusive language, are a significant concern, with research focusing on automated detection and mitigation. Current efforts utilize various deep learning architectures, including transformer models like BERT and its variants, along with convolutional and recurrent neural networks, to classify toxicity and identify its targets across multiple languages and modalities (text, images, video). This research is crucial for improving online safety, informing content moderation strategies, and understanding the societal impact of online toxicity, particularly its disproportionate effects on vulnerable groups.