Results 21 to 30 of about 4,843 (263)

Important Arguments Nomination Based on Fuzzy Labeling for Recognizing Plagiarized Semantic Text

open access: yesMathematics, 2022
Plagiarism is an act of intellectual high treason that damages the whole scholarly endeavor. Many attempts have been undertaken in recent years to identify text document plagiarism.
Ahmed Hamza Osman   +1 more
doaj   +1 more source

EFL STUDENTS’ PERCEPTION OF TURNITIN FOR DETECTING PLAGIARISM ON ACADEMIC WRITING

open access: yesInternational Journal of Education, 2018
As one of the negative impacts of technology development, the easy access to any information on the internet creates a new problem on academic integrity, in which the students take other’s works and claim as theirs.
Muhamad Nova, Westi Haryanti Utami
doaj   +1 more source

Some students plagiarism tricks, and tips for effective check

open access: yesInternational Journal for Educational Integrity, 2021
One of the main goals of assignments in the academic environment is to assess the students’ knowledge and mastery of a specific topic, and it is crucial to ensure that the work is original and has been solely made by the students to assess their ...
Ahmed M. Elkhatat   +2 more
doaj   +1 more source

Memahami dan Mencegah Perilaku Plagiarisme dalam Menulis Karya Ilmiah [PDF]

open access: yesBuletin Psikologi, 2019
Plagiarism is a misconduct act and a scourge for science. Plagiarism perpetrators steal other author's work without citing the original references. Psychology is one of the most vulnerable sciences with plagiarism and must give more attention to this ...
Muhammad Abdan Shadiqi
doaj   +1 more source

Plagiarism vs Similarity Index: A Critical Insight

open access: yesGerman Journal of Pharmaceuticals and Biomaterials, 2023
The word Plagiarism is derived from the Latin term “plagiarius”, meaning “kidnapper” [1]. Plagiarism severely violates publication ethics and professional conduct [2].
Sandesh Narayan Somnache
doaj   +1 more source

PLAGIARISM AND ITS REPERCUSSIONS: A PRIMER ON RESPONSIBLE SCIENTIFIC WRITING

open access: yesCentral Asian Journal of Medical Hypotheses and Ethics, 2022
Background: Plagiarism, in simple words meaning theft of ideas or text, is a grave scientific misconduct that is talked about frequently, however is notable in its conspicuous absence from the formal educational curriculum. Students and young researchers
Pankti Mehta, Sayan Mukherjee
doaj   +1 more source

Students versus Plagiarism: How is Online Plagiarism Detection Service Perceived?

open access: yesEthical Lingua: Journal of Language Teaching and Literature, 2016
The development of information and communication technology plays a considerable role for students in writing their theses. The positive side, it will help the students to find countless number of academic sources ranging from journal articles to ...
Muhammad Affan Ramadhana
doaj   +3 more sources

Plagiarism types and detection methods: a systematic survey of algorithms in text analysis

open access: yesFrontiers in Computer Science
Plagiarism in academic and creative writing continues to be a significant challenge, driven by the exponential growth of digital content. This paper presents a systematic survey of various types of plagiarism and the detection algorithms employed in text
Altynbek Amirzhanov   +2 more
doaj   +1 more source

Plagiarism Detection

open access: yesINTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2022
As technology advances faster and also the use of computer systems increases compared to past, cheating may be a growing trend. Misappropriation of another person's work is understood as cheating. Personal detection of cheating is difficult so this process should be automated. There are various tools that may be wont to detect cheating.
openaire   +1 more source

Detecting Machine-Obfuscated Plagiarism [PDF]

open access: yes, 2020
Research on academic integrity has identified online paraphrasing tools as a severe threat to the effectiveness of plagiarism detection systems. To enable the automated identification of machine-paraphrased text, we make three contributions. First, we evaluate the effectiveness of six prominent word embedding models in combination with five classifiers
Foltýnek, Tomáš   +10 more
openaire   +2 more sources

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