In recent years we have seen a great proliferation of smart vehicles, ranging from cars to little drones (both terrestrial and aerial), all endowed with sensors and communication capabilities. It is hence easy to foresee a future with even more smart and connected vehicles moving around, occupying space and creating an Internet of Vehicles (IoV). In this IoV, a multitude of nodes (both static and mobile) will generate a continuous multihop flow of local information to support local smart environment applications. Therefore, one interesting environment for the IoV would be in the form of 3D Mobile Ad-Hoc Networks (MANETs). Unfortunately, MANET routing protocols have generally been designed and analyzed keeping in mind a 2D scenario; there is no guarantee on how they would support a 3D topology of the IoV. To this end, we have considered routing protocols deemed as the state-of-the-art for classic MANETs and tested them over 3D topologies to evaluate their assets and technical challenges.

Online Social Networks (OSNs) rely on content moderation systems to ensure platform and user safety by preventing malicious activities such as the spread of harmful content. However, there is a growing consensus suggesting that such systems are unfair to historically marginalized individuals, fragile users, and minorities. Additionally, OSN policies are often hardcoded in artificial intelligence–based violation classifiers, making personalized content moderation challenging. In addition, there is a need for more communication between users and platform administrators, especially in the case of disagreement about a moderation decision. To address these issues, we propose integrating content moderation systems with Large Language Models (LLMs) to enhance support for personal content moderation and improve user–platform communication. We also evaluate the content moderation capabilities of GPT 3.5 and LLaMa 2, comparing them with commercial products, as well as discuss the limitations of our approach and the open research directions.