AI model for Cyberbullying detection​

Introduction

The exponential growth of connected devices (i.e. laptops, smartphones or tablets) has radically changed communications means, also making it faster and impersonal by using On-line Social Networks and Instant messaging through several apps. Nowadays cyberbullying has become an emerging problem affecting children and young adults.

Novel metodologies are required for information extraction from heterogeneous sources with the aim to identify cyberbullying activities.

Available Theses

  • Multimodal analysis based on text for cyberbullying detection;
  • Multimodal analysis based on text and image for cyberbullying detection;
  • Temporal analysis of human interaction for pre-emptive cyberbullying detection.

In progress

  • None at the moment

Project & Collaborations

This research project is supported by the Italian Ministry of Education, University and Research (MIUR) within the PRIN2017 - BullyBuster - A framework for bullying and cyberbullying action detection by computer vision and artificial intelligence methods and algorithms (CUP: F74I19000370001).

References

  • Giancarlo Sperlì (This email address is being protected from spambots. You need JavaScript enabled to view it.)