African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6859

Full Length Research Paper

Intricacies of utilizing Turnitin tool in agricultural extension content writing in Nigeria

Emmanuel Odinaka Okoroma
  • Emmanuel Odinaka Okoroma
  • Department of Agricultural Economics and Extension, Faculty of Agriculture, University of Uyo, Uyo, Akwa Ibom State, Nigeria.
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Ogbonnaya Aja Okoro
  • Ogbonnaya Aja Okoro
  • Department of Agricultural Extension, School of Agriculture and Agricultural Technology, Federal University of Technology Owerri, Imo State, Nigeria.
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Christiana Ihuoma Agomuo
  • Christiana Ihuoma Agomuo
  • Department of Agricultural Extension, School of Agriculture and Agricultural Technology, Federal University of Technology Owerri, Imo State, Nigeria.
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Comfort Chigozie Godson-Ibeji
  • Comfort Chigozie Godson-Ibeji
  • Department of Agricultural Extension, School of Agriculture and Agricultural Technology, Federal University of Technology Owerri, Imo State, Nigeria.
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Nsongurua Dianabasi Inyang
  • Nsongurua Dianabasi Inyang
  • Department of Agricultural Economics and Extension, Faculty of Agriculture, University of Uyo, Uyo, Akwa Ibom State, Nigeria.
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  •  Received: 29 July 2023
  •  Accepted: 25 August 2023
  •  Published: 30 September 2023

Abstract

The study analyzed how Turnitin misjudges semantics used in agricultural extension writing in Nigeria. The paper applied thematic content analysis on 30 selected extension contents from Nigerian sources. Codes, percentage count and line graph were used in analysing data. The results show the inability of Turnitin to recognize agricultural extension semantics, such as, “The study was designed to…”, and “The result shows that…” which were flagged most with 81.0 and 75.0% occurrence, respectively. The text similarity was highest in the methodology section of the work, followed by the literature review section for empirical papers while text similarity peaked in the main body of the paper for non-empirical papers. The paper concludes that Turnitin algorithm is a text matching tool that cannot recognize semantics used in extension in Nigeria. Manual review and/or recalculation of Turnitin text similarity index were recommended.     

Key words: Extension content, plagiarism, integrity, intellectual property, text similarity Turnitin.