• Vijay Chauhan
• Upendra Sahu
• H. R. Kulkarni
• Priyanka Deshmukh
• S.H. Karande

Artificial Intelligence (AI) has become central to content moderation on social media platforms. This paper examines various AI-driven moderation techniques, exploring their strengths, limitations, and socio-technical implications. It provides a structured overview of automated moderation pipelines that include machine learning classifiers, natural language processing (NLP), multimodal detection, and humanin-the-loop systems. Recent advancements such as transformer-based models, multimodal embeddings, and scalable filtering architectures have significantly improved the accuracy and efficiency of content moderation. The paper also investigates key challenges such as adversarial manipulation, performance measurement, bias, fairness, transparency, and legal or regulatory considerations. Finally, it proposes a hybrid moderation framework that balances automation with human oversight, ensuring responsible and accountable use of AI in digital platforms.

Artificial Intelligence, content moderation, social media, natural language processing, multimodal moderation, ethics

"The Role of Artificial Intelligence in Social Media Content Moderation ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 1, page no.621-625, January-2026, Available :http://www.jetir.org/papers/JETIRHG06083.pdf

"The Role of Artificial Intelligence in Social Media Content Moderation ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 1, page no. pp621-625, January-2026, Available at : http://www.jetir.org/papers/JETIRHG06083.pdf