Media literacy in the age of artificial intelligence: methods for detecting disinformation on social media

Abstract

This thesis examines how media literacy is reshaped in the era of pervasive artificial intelligence and substantiates practical methods for detecting misinformation on social media. The study applies content analysis, source criticism, an OSINT approach, and metadata assessment. Its scientific novelty lies in proposing a verification protocol that integrates platform-specific dynamics, algorithmic distribution patterns, and user behavioral factors into a single analytical workflow.