Analysis of Support Tools for Plagiarism Detection

DOI

10.2991/978-94-6463-136-4_6How to use a DOI?

Keywords

Plagiarism Detection Tools; Dupli Checker; Plag Scan; Urkund; Turnitin

Abstract

Plagiarism in academic research is on the rise. It is common practice to post stuff that was taken directly from the internet without giving the author credit. The researcher used a variety of tactics, including copy-paste, idea plagiarism, paraphrasing, artistic plagiarism, code plagiarism, forgotten or expired links to resources, improper use of quotation marks, misinformation of references, and translated plagiarism. Despite the availability of numerous commercial tools, these tools are unable to identify plagiarism. The analysis of various plagiarism detection systems, which are frequently used to find plagiarism in academic work, is the primary subject of this paper.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Vrushali Bhuyar
AU  - S. N. Deshmukh
PY  - 2023
DA  - 2023/05/01
TI  - Analysis of Support Tools for Plagiarism Detection
BT  - Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
PB  - Atlantis Press
SP  - 38
EP  - 46
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-136-4_6
DO  - 10.2991/978-94-6463-136-4_6
ID  - Bhuyar2023
ER  -