MODELING THE AUDIENCE ACTIVITY OF KAZAKH-LANGUAGE YOUTUBE CHANNELS USING ARTIFICIAL INTELLIGENCE

Abstract

In the era of rapid digital technology development, YouTube has become one of the key platforms for creating and distributing video content, bringing together more than two billion active users worldwide. The Kazakh-language segment of YouTube represents a unique and underexplored niche that requires scientific analysis of the factors influencing video popularity and viewership. The growing interest in the Kazakh language and culture in the digital space is driven by an increase in users, technological advancement, strengthening of cultural identity, and the active engagement of youth on social media. This article provides analytical insights into audience engagement mechanisms and content success factors, offering practical significance for video creators, marketers, digital culture researchers, and developers of recommendation systems. The results of the study contribute to the promotion of the Kazakh language in the media space and to the development of effective digital communication strategies.