ARTIFICIAL INTELLIGENCE-SUPPORTED EARLY DETECTION AND GUIDANCE SYSTEM AND METHOD AGAINST DIGITAL BULLYING

Abstract

The invention refers to a digital message, event description, or online communication content received from the user. analyzing data, identifying indicators of cyberbullying on that data, detection Based on the indicators used, a numerical risk score is created, classifying the risk score as low / medium / high / urgent risk. assigning to one of the classes, early warning registration to the guidance service depending on the risk class, and an AI-powered system (1) and method that generates digital guidance output for the user It is related to.

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