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Researchers in the dynamic discipline of Computational Social Science utilize digital tools to investigate core aspects of human interaction, communication, and behavior. The digital transformation has altered not just our communication methods, but also our capacity to analyze and comprehend these exchanges. 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 amounts of data documenting communicative processes. This creates extraordinary possibilities to expand our knowledge of communication's nature and potential impacts, whether for individuals or communities. Computational methods may involve analyzing large datasets, running simulations, examining social networks, extracting insights from text, applying machine learning, conducting extensive experiments, building cognitive models, studying temporal patterns, and creating visual representations of data.