Computational Communication Research

Aims & Scope

CCR publishes articles that further the understanding, development and application of computational methods in communication research. Computational methods include (but are not limited to) methods such as text analysis, social/semantic network analysis, online experiments, machine learning, visual analysis and agent-based modeling and simulations. Computational methods can be applied to “big data” and social media or (online) behavior data, but can also be used to provide a more sophisticated understanding of “small data” or for theoretical explorations. Submissions should discuss, introduce, or apply computational methods to build and/or test theory or to quantify, analyze, explore or visualize communication structures and processes. In particular, we welcome submissions that : Apply computational methods to communication research questions; Present innovative computational methods for communication research; Evaluate or validate computational approaches to communication research; Address the role of computational methods in communication research; Present or validate tools, software packages, and datasets that are useful for communication research.

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Source: OpenAlex · Note: citations accumulate over time so older years appear higher

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Subject Classification