Toxic Text

Toxic text research focuses on identifying and mitigating harmful language across various online platforms, aiming to create safer digital environments. Current efforts concentrate on improving detection models, often employing neural networks like BERT and Bayesian methods, and addressing challenges like cross-domain generalization, implicit toxicity, and the evolving nature of toxic language. This research is crucial for developing effective content moderation tools and understanding the societal impact of online hate speech and misinformation, with implications for social media platforms, online gaming, and even machine translation systems.