What is it about?
Plagiarism is described as an unrecognised utilisation of someone’s new idea(s), expression(s) or text(s). It has long been considered to be a serious research, academic or publishing offence. Therefore, The purpose of this paper is to analyse the state-of-the-art techniques used to detect plagiarism in terms of their limitations, features, taxonomies, and processes.
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Why is it important?
The contribution of this study lies in its ability to have exposed the current trends in plagiarism detection researches and identify areas where further improvements are required so as to complement the performances of existing techniques.
Perspectives
I am thrilled this article has published for a few reasons. Many wheels have been re-invented and so many are still being re-invented: a term that refers to the recycling of research, ideas or texts for consumption within the academic or research community. However, with the advent of new technology, plagiarism is now being curbed and reduced since detection systems are readily available to track it. This was made possible by ensuring that billions of ideas, texts, code sources, images, sounds, and videos are readily accessible in web databases to perform the necessary matching to detect plagiarism. The focus of this study is to investigate techniques used in the past for detecting plagiarism. I hope that my work can make a light for the areas where further improvements are required so as to complement the performances of existing techniques.
Mrs Taiseer Abdalla Eisa
UTM
Read the Original
This page is a summary of: Existing plagiarism detection techniques, Online Information Review, June 2015, Emerald,
DOI: 10.1108/oir-12-2014-0315.
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