John R. Gallagher , Hsiang Wang , Matthew Modaff , Junjing Liu , Yi Xu
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引用次数: 1
Abstract
Keywords are often used to shed light on shared words and their meanings, including their contestation. Often these keywords are determined using small samples or author inferences. However, identification of large sample, data-driven keywords is important for writing studies to avoid a range of biases including socioeconomic, confirmation, and sampling. We use the methodologies of “term frequency-inverse document frequency” (TF-IDF) and collocation on a corpus of journal articles from seven major writing studies journals: College Composition and Communication, College English, Computers and Composition, Research in the Teaching of English, Rhetoric Review, Rhetoric Society Quarterly, and Written Communication. By examining approximately 99% of the research articles published in these journals between 2000 and 2019 (N = 2738), we determine the evolution of keywords over time. Changes in keywords suggest attention to the impact of technology.
期刊介绍：
Computers and Composition: An International Journal is devoted to exploring the use of computers in writing classes, writing programs, and writing research. It provides a forum for discussing issues connected with writing and computer use. It also offers information about integrating computers into writing programs on the basis of sound theoretical and pedagogical decisions, and empirical evidence. It welcomes articles, reviews, and letters to the Editors that may be of interest to readers, including descriptions of computer-aided writing and/or reading instruction, discussions of topics related to computer use of software development; explorations of controversial ethical, legal, or social issues related to the use of computers in writing programs.
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