When science meets cluttered writing: adjectives and adverbs in academia revisited
Lei Lei ()
Additional contact information
Lei Lei: Huazhong University of Science and Technology
Scientometrics, 2016, vol. 107, issue 3, No 22, 1372 pages
Abstract:
Abstract Okulicz-Kozaryn (Scientometrics 96:679–681, 2013) examined the readability issue in terms of the proportions of adjectives and adverbs in research articles. The results showed that natural scientists used the lowest proportion of adjectives and adverbs, while social scientists employed more adjectives and adverbs than natural scientists. Based on the findings, he argued for killing much of the adjectives and adverbs in academic writing for brevity and conciseness. However, adjectives and adverbs serve different functions in academic writing. Thus, the present study investigated the use of adjectives and adverbs separately with a much larger set of academic writing of various genres and a subsample of only research articles. The results indicated that the proportions of adjectives in natural science and applied science are higher than those in arts and humanities and social science, while the proportions of adverbs in natural science and applied science are lower than those in arts and humanities and social science. The results seemingly complemented Okulicz-Kozaryn’s (2013) findings. It is accordingly suggested that researchers in arts and humanities and social science should use less adverbs in academic writing. Issues concerning readability and impact of articles are also discussed.
Keywords: Readability; Academic writing; Adjectives; Adverbs (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://link.springer.com/10.1007/s11192-016-1896-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:107:y:2016:i:3:d:10.1007_s11192-016-1896-3
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-016-1896-3
Access Statistics for this article
Scientometrics is currently edited by Wolfgang Glänzel
More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().