The Department of Bioinformatics at the College of Biomedical Informatics at the University of Information Technology and Communications organized an educational awareness campaign about the dangers of social media addiction and its effects on mental health and digital behavior among young people.

The campaign included holding a seminar entitled “Applying artificial intelligence algorithms in social media addiction and levels of anxiety and depression in young people”, presented by the teacher T.A. Ahmed Oday Ezzat, where the seminar addressed how to employ artificial intelligence algorithms in analyzing usage data for early detection of indicators of anxiety and depression, and reviewed the most prominent machine learning techniques and methods for building analytical models, in addition to clarifying the mechanisms of linking digital behavior to psychological manifestations, while presenting applied examples and recent research results in this field.

The campaign aimed to raise awareness of the dangers of excessive use of social media platforms, and enable researchers and those interested to employ artificial intelligence as a tool to support diagnosis in social and health aspects.

The campaign activities, in which a group of students participated, also included designing a model that embodies the phenomenon of youth addiction to social networking sites, in addition to preparing brochures, profiles, and awareness flexes that were published in the college corridors and among students, in order to enhance technological and health awareness and consolidate their role in building an aware and sustainable society.c