In the realm of text analysis, intrinsic plagiarism detection plays a crucial role by aiming to identify instances of plagiarized content within a document and determining whether parts of the text originate from the same author.
Muhammad Faraz Manzoor +5 more
doaj +2 more sources
Plagiarism types and detection methods: a systematic survey of algorithms in text analysis
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 +2 more sources
Evaluation of Different Plagiarism Detection Methods: A Fuzzy MCDM Perspective
Due to the overall widespread accessibility of electronic materials available on the internet, the availability and usage of computers in education have resulted in a growth in the incidence of plagiarism among students.
Kamal Mansour Jambi +2 more
doaj +2 more sources
Academic Plagiarism Detection [PDF]
This article summarizes the research on computational methods to detect academic plagiarism by systematically reviewing 239 research papers published between 2013 and 2018. To structure the presentation of the research contributions, we propose novel technically oriented typologies for plagiarism prevention and detection efforts, the forms of academic ...
Tomáš Foltýnek +2 more
openaire +3 more sources
Faculty Members' Perceptions and Attitudes Towards Anti-Plagiarism Detection Tools: Applying the Theory of Planned Behavior. [PDF]
Objective To evaluate predictors of the use of anti-plagiarism detection tools (APTs) in higher education institutions. Methods An online survey based on the theory of planned behavior was sent to members of science faculties in Jordan.
Arabyat RM +4 more
europepmc +2 more sources
Plagiarism detection and prevention: a primer for researchers. [PDF]
Plagiarism is an ethical misconduct affecting the quality, readability, and trustworthiness of scholarly publications. Improving researcher awareness of plagiarism of words, ideas, and graphics is essential for avoiding unacceptable writing practices ...
Zimba O, Gasparyan AY.
europepmc +2 more sources
Will ChatGPT get you caught? Rethinking of Plagiarism Detection [PDF]
The rise of Artificial Intelligence (AI) technology and its impact on education has been a topic of growing concern in recent years. The new generation AI systems such as chatbots have become more accessible on the Internet and stronger in terms of ...
M. Khalil, Erkan Er
semanticscholar +1 more source
A Novel Plagiarism Detection Approach Combining BERT-based Word Embedding, Attention-based LSTMs and an Improved Differential Evolution Algorithm [PDF]
Detecting plagiarism involves finding similar items in two different sources. In this article, we propose a novel method for detecting plagiarism that is based on attention mechanism-based long short-term memory (LSTM) and bidirectional encoder ...
Seyed Vahid Moravvej +3 more
semanticscholar +1 more source
Beyond Black Box AI generated Plagiarism Detection: From Sentence to Document Level [PDF]
The increasing reliance on large language models (LLMs) in academic writing has led to a rise in plagiarism. Existing AI-generated text classifiers have limited accuracy and often produce false positives.
Mujahid Quidwai +2 more
semanticscholar +1 more source
An effective text plagiarism detection system based on feature selection and SVM techniques
Text plagiarism has greatly spread in the recent years, it becomes a common problem in several fields such as research manuscripts, textbooks, patents, academic circles, etc. There are many sentence similarity features were used to detect plagiarism, but
Mohamed A. El-Rashidy +3 more
semanticscholar +1 more source

