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Cited by 160Academic integrity and plagiarismSoftware Engineering ResearchSpam and Phishing Detection

Computer-based plagiarism detection methods and tools: an overview

Lukashenko, Romans, Graudina, Vita, Grundspenkis, Janis·2007·Proceedings of the 2007 international conference on Computer systems and technologies - CompSysTech '07
DOI 10.1145/1330598.1330642
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Abstract

The paper is dedicated to plagiarism problem. The ways how to reduce plagiarism: both: plagiarism prevention and plagiarism detection are discussed. Widely used plagiarism detection methods are described. The most known plagiarism detection tools are analysed.

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Crossref · 10.1145/1330598.1330642

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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  • Plagiarism prevention methods are time-consuming but have long-term effects, while detection methods are short-term and have rapid effects.

    “Lukashenko et al. distinguish two classes of methods: methods for prevention which are timeconsuming but have long-term effects and methods for detection which are short-term and have rapid effects (Lukashenko et al., 2007).”

    From Taxonomy of academic plagiarism methods (2021) · cites this paper as Lukashenko et al., 2007

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Authors
Lukashenko, R., Graudina, V., & Grundspenkis, J.
Venue
Proceedings of the 2007 international conference on Computer systems and technologies - CompSysTech '07
Publisher
ACM Press
Published
2007
Pages
1
ISSN
1313-8936 (ISSN-L)
DOI
10.1145/1330598.1330642
OpenAlex
W1971226872
Cited by
160
References
2
Citations by year
2026: 1 · 2025: 1 · 2024: 3 · 2023: 12 · 2022: 1 · 2021: 6 · 2020: 5 · 2019: 12 · 2018: 15 · 2017: 9 · 2016: 8 · 2015: 10 · 2014: 7 · 2013: 16 · 2012: 11
FWCI
60.12
Type
conference paper
Language
en
Open access
closed
Licence
www.acm.org/publications/policies/copyright_policy#Background (vor)
Locations
International Conference on Computer Systems and Technologies (CompSysTech) (publishedVersion)
Topics
  • Social Sciences › Safety Research › Academic integrity and plagiarism
  • Physical Sciences › Computer Science › Information Systems › Software Engineering Research
  • Physical Sciences › Computer Science › Information Systems › Spam and Phishing Detection
Keywords
plagiarism detection, plagiarism avoidance, plagiarism detection software, academic integrity

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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