AI-ASSISTED MISINFORMATION DETECTION IN REAL-TIME STREAMING PLATFORMS: A CONTENT-AWARE APPROACH

Abstract

Misinformation is incorrect, false, or misleading information that can be spread intentionally or unintentionally. In recent years, this phenomenon has been widely disseminated through social networks, media platforms, including real-time broadcasts. Specifically, the risk of misinformation sharply increases in situations such as political campaigns, pandemics, and natural disasters. Although AI-based systems have become an important tool for detecting misinformation, understanding the real-time context and conducting deep content analysis remains a pressing issue.