Taxonomy of academic plagiarism methods

TL;DR

This paper reviews and proposes a comprehensive taxonomy of academic plagiarism methods, detailing classifications, detection approaches, and algorithms to better understand and address plagiarism in academic texts.

Contribution

It introduces a new, detailed classification system for academic plagiarism based on origin, purpose, technical implementation, and detection complexity.

Findings

Proposes a comprehensive taxonomy of plagiarism methods

Classifies plagiarism based on multiple criteria

Describes various detection approaches and algorithms

Abstract

The article gives an overview of the plagiarism domain, with focus on academic plagiarism. The article defines plagiarism, explains the origin of the term, as well as plagiarism related terms. It identifies the extent of the plagiarism domain and then focuses on the plagiarism subdomain of text documents, for which it gives an overview of current classifications and taxonomies and then proposes a more comprehensive classification according to several criteria: their origin and purpose, technical implementation, consequence, complexity of detection and according to the number of linguistic sources. The article suggests the new classification of academic plagiarism, describes sorts and methods of plagiarism, types and categories, approaches and phases of plagiarism detection, the classification of methods and algorithms for plagiarism detection. The title of the article explicitly targets the academic community, but it is sufficiently general and interdisciplinary, so it can be useful for many other professionals like software developers, linguists and librarians.