Moderation Tool

Moderation tools aim to automatically identify and filter harmful online content, such as hate speech, misinformation, and abusive language, across various platforms and languages. Current research focuses on improving the accuracy and efficiency of these tools, employing techniques like transformer-based models, convolutional neural networks, and ensemble methods to detect malicious intent and contextual nuances within conversations. This work is crucial for mitigating the negative impacts of harmful online content and improving the safety and well-being of online communities, with applications ranging from social media platforms to large language model interfaces. Furthermore, research emphasizes the need for culturally-aware models and explainable AI to enhance fairness and transparency in moderation decisions.