Artificial Intelligence for Social Media Safety and Security: A Systematic Literature Review

Abstract

The proliferation of social media platforms has revolutionized communication and connectivity, but it has also introduced new challenges related to safety and security. In response, researchers and practitioners have turned to artificial intelligence (AI) to develop innovative solutions for mitigating online risks. This systematic literature review explores the key applications, methodologies, benefits, limitations, ethical considerations, and future directions of AI in promoting social media safety and security. The review synthesizes findings from various scholarly articles spanning various disciplines, including computer science, engineering, and social sciences. The methodology involved searching academic databases such as PubMed, Scopus, IEEE Xplore, and Google Scholar using predefined search terms and inclusion criteria. The results reveal a diverse range of AI-driven approaches for addressing safety and security concerns on social media platforms, including enhanced threat detection, automated content moderation, and real-time response mechanisms. However, the deployment of AI in social media contexts also raises ethical challenges such as algorithm bias, privacy concerns, and lack of explain ability. The conclusion emphasizes the importance of ongoing research, collaboration, and ethical guidelines to maximize the benefits of AI while minimizing its potential risks. This review contributes to the growing body of literature on AI and social media by providing insights into current trends, challenges, and future directions in this rapidly evolving field.