Computational Communication Science| Computational Communication Science: A Methodological Catalyzer for a Maturing Discipline

作者: Wouter van Atteveldt , Jana Diesner , Paul E. Smaldino , Annie Waldherr , Noshir Contractor

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关键词: Observational studyResearch questionsData scienceTRACE (psycholinguistics)Field (computer science)Set (psychology)Virtual labComputer scienceBig dataExperimental research

摘要: This article reviews the opportunities and challenges for computational research methods in field of communication. Among social sciences, communication stands out as a discipline with relatively low-profile institutionalized focus on in-house development methods. Computational tools are changing this, they catalyzing new set directly suited to tackling foundational questions We systematically review how affect three fundamental pillars scientific method: observational approaches (i.e., digital trace data), theoretical computer simulations), experimental virtual labs experiments). stress that data catalyzer but not requirement science. explore observational, theoretical, can be combined cross-fertilize one another. conclude taking advantage will require systematic effort our develop adjust these

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