Simulating Users in a Social Media Platform Using Multi-agent Systems

摘要

The massive use of social media makes it increasingly easy to find highly sensitive information about almost anyone on the Internet. Despite the efforts of social media platforms to provide their users with tools to manage their privacy, these are proving insufficient due to their complexity. For this reason, it has been considered necessary to develop a software tool based on a multi-agent system to help users to improve and correct their bad behavior by using automation mechanisms and transmitting the information in a natural way for them, replicating the behavior of a human being. The aim of our work is to implement a multi-agent system where agents interact organically with each other and with human users on the PESEDIA social network, so that they can support user in a non-intrusive manner, using paternalistic techniques through actions available on the social network.