Emotional Communication and Polarization on Social Media Platforms

Abstract

Social media platforms shape emotional communication and influence how people interact. Emotional content spreads faster than neutral content. Users respond with likes, shares, and comments. These actions turn emotion into a system of signals. Algorithms increase the visibility of emotional messages and create echo chambers. Users form group identity through emotional markers, symbols, and narratives. Emotional communication creates division between groups and increases affective polarization. Researchers observe emotional contagion, identity formation, algorithmic influence, and misinformation spread. Efforts to reduce polarization include platform moderation, regulation, fact-checking, and digital literacy. Future work can explore emotional behavior across cultures, age groups, new platforms, and design solutions. Emotional communication remains a central force in digital society and continues to shape online behavior.