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Researchers in the dynamic domain of Computational Social Science utilize advanced digital tools to investigate core aspects of human interaction, communication patterns, and social behavior. The digital transformation has revolutionized both our communication methods and our capacity to analyze them. People now generate enormous digital traces that computers can analyze to uncover previously hidden patterns, while simulated environments allow us to test ambitious future scenarios. Communication studies lead in adopting these innovative approaches, primarily because online activity generates vast datasets documenting communication phenomena. This creates extraordinary possibilities to enhance our comprehension of communication's nature and potential impacts, whether for individuals or communities. Computational methods encompass diverse techniques like big data processing, simulation modeling, network analysis, automated text analysis, artificial intelligence applications, large-scale experimental studies, cognitive simulations, temporal pattern examination, and graphical data representation.