The Science of Open (Communication) Science: Toward an Evidence-Driven Understanding of Quality Criteria in Communication Research
Author(s) -
Isabelle Freiling,
Nicole M. Krause,
Dietram A. Scheufele,
Kaiping Chen
Publication year - 2021
Publication title -
journal of communication
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.752
H-Index - 131
eISSN - 1460-2466
pISSN - 0021-9916
DOI - 10.1093/joc/jqab032
Subject(s) - science communication , open science , scholarship , clarity , field (mathematics) , communication studies , communication sciences , intuition , communication theory , quality (philosophy) , sociology , scientific communication , data science , epistemology , psychology , science education , computer science , social science , political science , cognitive science , communication , biology , pedagogy , biochemistry , physics , philosophy , mathematics , astronomy , pure mathematics , law
Paralleling very visible debates in psychology, some parts of the communication field have recently pushed for a wholesale endorsement of the principles of open science and its practices, including a particular focus on replicability and reproducibility as quality criteria. Unfortunately, these discussions have been plagued by a set of at least 3 interrelated problems: A lack of conceptual clarity when defining open science-related challenges to communication scholarship; the irony of using intuition rather than evidence when trying to improve communication science; and our field’s surprising lack of attention to nonreplicability in social media data as one of our field’s most rapidly growing data sources. In response to these problem areas, we argue that communication as a field proceed empirically as it applies open science practices to different subfields in communication and end our essay with pathways forward for a science of open (communication) science.
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