This study aims to explore the moderating effect of trust on the relationship between social media engagement, relationship benefits, and social relationships, utilizing an innovative framework grounded in social exchange theory. Employing a quantitative analysis with structural equation modeling (SEM), using a questionnaire distributed to a sample of 493 Jordanian youth, the results unveil a positive correlation between social media engagement and social relationships, with trust emerging as a crucial moderator in this dynamic. Trust positively moderates the connection between social media engagement and social relationships. This research sheds light on the pivotal role of trust in shaping social relationships on social media platforms. However, the interaction between trust and relationship benefits does not significantly impact social relationships. By expanding on existing knowledge, this study offers a fresh perspective on the interplay between trust, social media engagement, relationship benefits, and social relationships, emphasizing the potential of understanding trust to foster stronger social connections in the digital age. The results suggest that the positive influence of social media engagement on social relationships possibly will be determined by the level of trust present inside online communities.

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The study aimed to reveal the perceptions of Journalists' Perceptions toward digital media Training in Jordanian Media organizations. The study sample consisted of journalists working in Jordanian media organizations. The study used the descriptive exploratory approach and concluded that there is an effect of applying digital media tools according to the perceptions of journalists, and they focused on the reasons why most Jordanian media organizations are not ready to employ digital media techniques. In addition, the study indicated that there were Jordan journalists possessed various skills in digital media, including using social networks for research, writing, publishing news stories, and editing content.

Much development has been so far observed in the role of artificial intelligence applications in media. We in this research made an attempt to predict the future impact of these applications on media. To this end, interviews were conducted with several university professors, asking them about their opinions in this regard. We asked them several questions (e.g. How can we describe artificial intelligence applications in media? Are they a new form of media with old technology, a new form of media with new technology, or a new form of media with old technology?). We reached several results, the most important are that transformations will occur to artificial intelligence applications in the future. Recommendations have also been discussed.