The Theory of Planned Behavior Regarding Artificial Intelligence in Recommendations and Selection of YouTube News Content
Mohammed Habes, Khalaf Tahat, Dina Tahat, Razaz Waheeb Attar, Ahmed Mansoori, Najia Ketbi
Abstract
Increased accessibility to YouTube-based news content is further accelerated by the incorporation of artificial intelligence (AI). Notably, the AI in the recommendations and selection of YouTube videos contains specific omnipresent algorithms. This study focuses on the increasing popularity of YouTube-based news collection and on AI in further facilitating and making the content appealing to the audience. The study applied an experimental approach and collected data from 280 respondents in Jordan. Mainly supported by the theory of planned behavior, we found that attitudes and subjective norms (p > 0.000) are strongly associated with the selection process of YouTube content. Moreover, AI is a strong mediator of the attitudes, subjective norms, and content selection of users of YouTube-based news (p > 0.000). Thus, we conclude that AI is a potential variable in further strengthening the intention to use YouTube in searching, selecting, and watching news content. Additionally, we have highlighted the limitations of the study.