In recent years, the proliferation of short video streaming platforms such as TikTok, Instagram Reels, and YouTube Shorts has not only captured global attention but also significantly altered the landscape of media consumption. These platforms, leveraging advanced technological frameworks and sophisticated algorithms, have created a new paradigm in which content is not only consumed but also produced and shared by users from diverse backgrounds. This paper aims to dissect the multitude of research trends encompassing the technological advancements, user engagement strategies, sociocultural impacts, and regulatory challenges associated with short video streaming. It highlights how these platforms harness powerful video compression technologies and artificial intelligence to deliver personalized content to users, thereby enhancing user experience and engagement. Additionally, the paper explores the sociocultural ramifications of these platforms, examining their role in global cultural diffusion and the shaping of social behaviors. It also addresses the pressing ethical and regulatory landscapes that govern content dissemination and privacy. By integrating various research findings, this paper presents a comprehensive analysis of the current state and potential future developments in short video streaming, providing insights into its continued influence on global digital culture and media consumption trends.

The rapid advancement towards 6G networks is set to revolutionize media services, offering unprecedented capabilities such as high-fidelity augmented reality, virtual reality, and ultra-high-definition video streaming. However, these advancements necessitate superior network management techniques to handle increased bandwidth demands and stringent latency requirements effectively. This paper introduces the concept of network digital twins as a pivotal solution in managing and optimizing 6G media services. By creating a virtual replica of the network that can predict and simulate real-world behaviors, digital twins facilitate proactive optimizations and real-time decision-making. We present a comprehensive simulation study demonstrating how network digital twins can significantly enhance bandwidth allocation, reduce latency, and improve overall media service quality in a 6G environment. Our findings suggest that digital twins not only promise to improve operational efficiencies but also enhance the end-user experience in nextgeneration media applications.

In the burgeoning field of intelligent transportation systems, the integration of Generative Artificial Intelligence (AI) into vehicular networks presents a transformative potential for the automotive industry. This paper explores the innovative applications of generative AI in enhancing communication protocols, optimizing traffic management, and bolstering security frameworks within vehicular networks. By examining current technologies and recent advancements, we identify key challenges such as scalability, real-time data processing, and security vulnerabilities that come with AI integration. Additionally, we propose novel applications and methodologies that leverage generative AI to simulate complex network scenarios, generate adaptive communication schemes, and enhance predictive capabilities for traffic conditions. This study not only reviews the state of the art but also highlights significant opportunities where generative AI can lead to groundbreaking improvements in vehicular network efficiency and safety. Through this comprehensive exploration, our findings aim to guide future research directions and foster a deeper understanding of generative AI's role in the next generation of vehicular technologies.