Online Social Networks in Business Frameworks

9The Future of Artificial Intelligence and Machine Learning in Online Social Networking

Amit Kumar Tyagi^1*, Ajanthaa Lakkshmanan^2† and Sayed Sayeed Ahmad³

¹National Institute of Fashion Technology, New Delhi, Delhi, India

²Department of Computing Technologies SRM Institute of Science and Technology, Kattankaluthur, India

³School of Engineering and Computing, De Montfort University, Dubai, United Arab Emirates

Abstract

The rapid integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies has ushered in a transformative era in the realm of online social networking. This chapter discusses the profound implications and futuristic trends associated with the synergy of AI and ML in shaping the landscape of digital social interactions. The first section moves towards the current state of online social networking platforms and their evolving challenges. We highlight the growing need for advanced solutions to address issues such as content moderation, personalized user experiences, and the management of large data volumes. AI and ML emerge as important tools poised to revolutionize these areas. The second section examines the role of AI and ML in content moderation, emphasizing their ability to enhance accuracy and efficiency in filtering out inappropriate content, hate speech, and misinformation. The incorporation of advanced algorithms enables platforms to create safer and more inclusive digital environments, fostering positive user experiences. The third section ...