Case Analyses on Implicit Academic Misconduct in Cross-Lingual Plagiarism
DOI:
https://doi.org/10.62051/ijsspa.v7n2.17Keywords:
Cross-Lingual Plagiarism, Academic Misconduct, Plagiarism DetectionAbstract
Cross-lingual plagiarism-especially in the form of implicit academic misconduct-poses significant challenges to academic integrity, particularly in multilingual research contexts. This study explores the nuanced features of implicit academic misconduct within cross-lingual plagiarism, including syntactic interference, terminological inconsistency, inaccurate modifiers, and missing citations. Drawing on representative cases informed by real-world academic supervision, the paper illustrates how these subtle forms of misconduct often evade standard detection tools. The findings highlight the limitations of current plagiarism detection systems in capturing non-literal and multimodal content reuse. The study emphasizes the need for increased awareness, improved supervisory practices, and the development of more robust, cross-lingual-sensitive detection mechanisms to uphold academic integrity in increasingly globalized academic environments.
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[1] Alzahrani, S. M., Salim, N., & Abraham, A. (2012). Understanding plagiarism linguistic patterns, textual features, and detection methods. IEEE Transactions on Systems, Man and Cybernetics. Part C, Applications and Reviews, 42(2), 133–149. https://doi.org/10.1109/tsmcc.2011.2134847
[2] Alzahrani, S., & Aljuaid, H. (2022). Identifying cross-lingual plagiarism using rich semantic features and deep neural networks: A study on Arabic-English plagiarism cases. Journal of King Saud University. Computer and Information Sciences/Maǧalaẗ Ǧamʼaẗ Al-malīk Saud : Ùlm Al-ḥasib Wa Al-maʼlumat, 34(4), 1110–1123.
[3] Asghari, H., Fatemi, O., Mohtaj, S., Faili, H., & Rosso, P. (2019). On the use of word embedding for cross language plagiarism detection. Intelligent Data Analysis, 23(3), 661–680. https://doi.org/10.3233/ida-183985
[4] Haneef, I., Nawab, R. M. A., Munir, E. U., & Bajwa, I. S. (2019). Design and development of a large Cross-Lingual Plagiarism Corpus for Urdu-English Language pair. Scientific Programming, 2019, 1–11. https://doi.org/10.1155/2019/2962040
[5] Hourrane, O., & Benlahmar, E. H. (2022). Graph transformer for cross-lingual plagiarism detection. IAES International Journal of Artificial Intelligence, 11(3), 905. https://doi.org/10.11591/ijai.v11.i3.pp905-915
[6] Lijuan Qi & Jingyi Ji.(2021) .Identification and prevention of inapparent academic misconducts: Cross-language plagiarism and ghostwriting. Research on Chinese science and technology journals, 32(11).
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