The frequency of plagiarism identified by text-matching software in scientific articles: a systematic review and meta-analysis

Vanja Pupovac ()
Additional contact information
Vanja Pupovac: University of Rijeka

Scientometrics, 2021, vol. 126, issue 11, No 9, 9003 pages

Abstract: Abstract The aim of this systematic review and meta-analysis is to determine the frequency of plagiarism in scientific papers estimated from publications that use text-matching software to identify plagiarism. For this purpose, a literature search of 39 bibliographic databases has been conducted and a total of 10,005 articles have been identified. Ten articles met the criteria for inclusion in the meta-analysis and they checked for plagiarism in 6459 already published articles or manuscripts submitted to journals or conferences. All articles assessed plagiarism in a two-step process, first identifying textual similarity based on text-matching software and second, additionally inspecting detected similarity in the human verification process. The result revealed that 18% (95% CI: 12–25%) of articles have instances of plagiarism. Subgroup analyses were conducted to explain the large variance in the results. Following factors were tested: the number of plagiarism criteria implemented during the human verification process, sample size, the country where the study was conducted, the scientific discipline of analyzed papers, and publication status of analyzed papers. Plagiarism rates were higher across studies with a smaller sample size (N

Keywords: Plagiarism; Text-matching software; Research integrity; Scientific misconduct; Publication ethics; Research ethics (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-021-04140-5 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:126:y:2021:i:11:d:10.1007_s11192-021-04140-5

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-021-04140-5

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 ().