Temporary Cost of Cheating Different Plagiarism Detection Algorithms by Students

  1. Solís-Martínez, Jaime 1
  2. Pascual Espada, Jordán 1
  3. Alonso Virgos, Lucia 2
  4. González Crespo, Rubén 2
  1. 1 Universidad de Oviedo
    info

    Universidad de Oviedo

    Oviedo, España

    ROR https://ror.org/006gksa02

  2. 2 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

Livre:
Proceedings of Integrated Intelligence Enable Networks and Computing. Algorithms for Intelligent Systems
  1. Singh Mer, K.K. (ed. lit.)
  2. Semwal, V.B. (ed. lit.)
  3. Bijalwan, V. (ed. lit.)
  4. Crespo, R.G. (ed. lit.)

Éditorial: Springer

ISSN: 2524-7565,  2524-7573

ISBN: 9789813363069,  9789813363076

Année de publication: 2021

Pages: 937-948

Type: Chapitre d'ouvrage

DOI: 10.1007/978-981-33-6307-6_96 GOOGLE SCHOLAR

Objectifs de Développement Durable

Résumé

Plagiarism detection in all kinds of works is a recurrent problem in the educational environment, at all levels. There are many tools capable of detecting plagiarism, with most of them using a combination of different algorithms. The most basic plagiarism detection system is based on the comparison of literal text strings, with the use of more complex algorithms allowing the detection of other types of copies where authors change or alter the structure and words in order for the work to have less resemblance to the original source. In this research work, we have developed a tool that allows text comparison with different types of algorithms. Ten students were asked to copy a text trying to hide that it has been copied, and the resulting texts were analyzed with a set of algorithms included in the tool, with the objective of verifying which algorithms do not detect the plagiarism and also how much time the students required to do so.

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