Digital Media and Public Information Perception: Algorithmic Mechanisms of Trust, Visual Communication, and Audience Engagement in Contemporary Digital Society

This research examines how digital media platforms shape public information perception through algorithmic visibility, visual communication, audience engagement, and digital trust mechanisms in contemporary digital society. The study analyzes how digital communication systems influence the visibility, circulation, emotional interpretation, and perceived credibility of information within online environments. Particular attention is devoted to algorithmic recommendation systems, visual storytelling, emotionally driven media communication, and the transformation of public trust in fragmented digital ecosystems. The article explores the relationship between digital platforms, audience behavior, social media systems, and informational fragmentation, arguing that contemporary digital media environments function not merely as passive channels of communication, but as active infrastructures shaping public attention, emotional engagement, and collective interpretation of reality. The research further investigates:• algorithmic visibility and public attention;• visual communication and emotional information processing;• media trust and digital credibility;• audience engagement and behavioral communication dynamics;• informational fragmentation and polarization of public discourse;• digital perception within platform-based communication systems. The study contributes to contemporary discussions in media studies, digital communication, information society research, visual communication, and platform studies.