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Text-based plagiarism in scientific publishing: issues, developments and education.

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Area of Science:

  • Scientific publishing
  • Academic integrity
  • Scholarly communication

Background:

  • Text-based plagiarism, or the copying of language from sources, is an increasing concern in scientific publishing.
  • Computational text-matching tools like CrossCheck reveal significant textual similarity in submitted manuscripts.
  • Understanding perceptions of textual appropriation and the development of screening tools is crucial.

Purpose of the Study:

  • To examine journal gatekeepers' perceptions of textual appropriation.
  • To review the development of automated plagiarism-screening tools for manuscript self-checking.
  • To discuss challenges faced by English as an additional language (EAL) authors regarding textual borrowing.

Main Methods:

  • Literature review on text-based plagiarism and its detection.
  • Analysis of perceptions of textual appropriation by journal gatekeepers.
  • Examination of automated plagiarism-screening tool development and availability.
  • Discussion of EAL author challenges and educational interventions.

Main Results:

  • Automated tools are increasingly used to detect text matching in scholarly submissions.
  • English as an additional language (EAL) authors, particularly novices, are often identified as unintentional offenders.
  • Existing literature provides insights into gatekeeper perceptions and tool development.

Conclusions:

  • Propose educational directions to combat text-based plagiarism.
  • Highlight the responsibilities of the publishing industry, senior authors, and English for Academic Purposes (EAP) professionals.
  • Emphasize the need for proactive measures and support for EAL authors to ensure academic integrity.