Plagiarism resources

Plagiarism Articles

Articles covering a range of topics on plagiarism, including famous plagiarism cases, plagiarism in the news and topics to help students.

Summary: Plagiarism detection has evolved into a multifaceted research area at the intersection of text analysis, information retrieval, and natural language processing. The challenge stems from the diverse ways in…

Summary: Plagiarism remains a serious concern in academia and beyond. It not only includes verbatim copy-paste theft of text, but also disguised plagiarism such as paraphrasing, translating content from another…

Summary: Plagiarism detection is a critical concern in academia and publishing, and it traditionally relies on text-matching algorithms to find copied or paraphrased passages. However, conventional plagiarism checkers often struggle…

Summary: The most promising technical methods of plagiarism detection over the last 10 years combine deep learning, semantic analysis, and hybrid approaches to address increasingly sophisticated forms of plagiarism. 1….

Summary: Plagiarism detection is a crucial task in academia and content creation, traditionally addressed with methods like exact string matching and heuristic rules. However, these rule-based approaches struggle with nuanced…

Summary: Plagiarism detection aims to identify instances where an author has copied or closely imitated content from another source without proper attribution. In the digital age, vast amounts of textual…

Summary: Plagiarism is the unacknowledged reuse of someone else’s text, and it remains a serious challenge in academia and publishing. In the digital era, copying and rephrasing text has become…

Summary: Academic institutions broadly condemn plagiarism – the act of presenting someone else’s work as one’s own. However, attitudes towards plagiarism vary around the world. Educators often assume that all…

Summary: Plagiarism detection is the task of identifying instances where content has been inappropriately copied or imitated without proper attribution. Traditional plagiarism detection methods often rely on string matching or…

Summary: Plagiarism in doctoral research is a grave breach of academic integrity that can derail a PhD journey. It involves presenting someone else’s words, ideas or data as one’s own…

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Ask the Doctor

Guides prepared by a lecturer from one of the UK’s leading universities who has taught undergraduates, postgraduates, GCSE and A level students for 30+ years.

Summary: Plagiarism detection has evolved into a multifaceted research area at the intersection of text analysis, information retrieval, and natural language processing. The challenge stems from the diverse ways in…

Summary: Plagiarism remains a serious concern in academia and beyond. It not only includes verbatim copy-paste theft of text, but also disguised plagiarism such as paraphrasing, translating content from another…

Summary: Plagiarism detection is a critical concern in academia and publishing, and it traditionally relies on text-matching algorithms to find copied or paraphrased passages. However, conventional plagiarism checkers often struggle…

Summary: The most promising technical methods of plagiarism detection over the last 10 years combine deep learning, semantic analysis, and hybrid approaches to address increasingly sophisticated forms of plagiarism. 1….

Summary: Plagiarism detection is a crucial task in academia and content creation, traditionally addressed with methods like exact string matching and heuristic rules. However, these rule-based approaches struggle with nuanced…

Summary: Plagiarism detection aims to identify instances where an author has copied or closely imitated content from another source without proper attribution. In the digital age, vast amounts of textual…

Summary: Plagiarism is the unacknowledged reuse of someone else’s text, and it remains a serious challenge in academia and publishing. In the digital era, copying and rephrasing text has become…

Summary: Academic institutions broadly condemn plagiarism – the act of presenting someone else’s work as one’s own. However, attitudes towards plagiarism vary around the world. Educators often assume that all…

Summary: Plagiarism detection is the task of identifying instances where content has been inappropriately copied or imitated without proper attribution. Traditional plagiarism detection methods often rely on string matching or…

Summary: Plagiarism in doctoral research is a grave breach of academic integrity that can derail a PhD journey. It involves presenting someone else’s words, ideas or data as one’s own…

See all from ‘Ask the Doctor’

Lesson Plans

Lesson plans for KS3, college and university students to help teachers tackle the subject of plagiarism.

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Reviews

Summary: Plagiarism detection has evolved into a multifaceted research area at the intersection of text analysis, information retrieval, and natural language processing. The challenge stems from the diverse ways in…

Summary: Plagiarism remains a serious concern in academia and beyond. It not only includes verbatim copy-paste theft of text, but also disguised plagiarism such as paraphrasing, translating content from another…

Summary: Plagiarism detection is a critical concern in academia and publishing, and it traditionally relies on text-matching algorithms to find copied or paraphrased passages. However, conventional plagiarism checkers often struggle…

Summary: The most promising technical methods of plagiarism detection over the last 10 years combine deep learning, semantic analysis, and hybrid approaches to address increasingly sophisticated forms of plagiarism. 1….

Summary: Plagiarism detection is a crucial task in academia and content creation, traditionally addressed with methods like exact string matching and heuristic rules. However, these rule-based approaches struggle with nuanced…

Summary: Plagiarism detection aims to identify instances where an author has copied or closely imitated content from another source without proper attribution. In the digital age, vast amounts of textual…

Summary: Plagiarism is the unacknowledged reuse of someone else’s text, and it remains a serious challenge in academia and publishing. In the digital era, copying and rephrasing text has become…

Summary: Academic institutions broadly condemn plagiarism – the act of presenting someone else’s work as one’s own. However, attitudes towards plagiarism vary around the world. Educators often assume that all…

Summary: Plagiarism detection is the task of identifying instances where content has been inappropriately copied or imitated without proper attribution. Traditional plagiarism detection methods often rely on string matching or…

Summary: Plagiarism in doctoral research is a grave breach of academic integrity that can derail a PhD journey. It involves presenting someone else’s words, ideas or data as one’s own…

Read all reviews

Types of Plagiarism

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