| Literature DB >> 22535578 |
Abstract
Text-based plagiarism, or copying language from sources, has recently become an issue of growing concern in scientific publishing. Use of CrossCheck (a computational text-matching tool) by journals has sometimes exposed an unexpected amount of textual similarity between submissions and databases of scholarly literature. In this paper I provide an overview of the relevant literature, to examine how journal gatekeepers perceive textual appropriation, and how automated plagiarism-screening tools have been developed to detect text matching, with the technique now available for self-check of manuscripts before submission; I also discuss issues around English as an additional language (EAL) authors and in particular EAL novices being the typical offenders of textual borrowing. The final section of the paper proposes a few educational directions to take in tackling text-based plagiarism, highlighting the roles of the publishing industry, senior authors and English for academic purposes professionals.Entities:
Mesh:
Year: 2012 PMID: 22535578 PMCID: PMC3735955 DOI: 10.1007/s11948-012-9367-6
Source DB: PubMed Journal: Sci Eng Ethics ISSN: 1353-3452 Impact factor: 3.525