Real-Time Content Moderation Using Artificial Intelligence and Machine Learning

Arjun Mantri

Abstract: In the digital age, the volume of user-generated content on online platforms has skyrocketed, making real-time content moderation a critical task. This paper explores the application of AI and machine learning (ML) in automating content moderation, highlighting techniques such as Natural Language Processing (NLP), computer vision, audio analysis, and behavioral analysis. These technologies enable platforms to detect and remove inappropriate content swiftly and efficiently, ensuring safe and respectful online environments. Challenges and ethical considerations, including false positives and negatives, bias in AI models, transparency, and privacy concerns, are also discussed.

Keywords: Content Moderation, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision