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Study on the Different Forms of Plagiarism in Textual Data and Image: Internal and External Detection

Study on the Different Forms of Plagiarism in Textual Data and Image: Internal and External Detection

Frederic Jack
Copyright: © 2019 |Pages: 16
ISBN13: 9781522573388|ISBN10: 1522573380|ISBN13 Softcover: 9781522587187|EISBN13: 9781522573395
DOI: 10.4018/978-1-5225-7338-8.ch004
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MLA

Jack, Frederic. "Study on the Different Forms of Plagiarism in Textual Data and Image: Internal and External Detection." Advanced Metaheuristic Methods in Big Data Retrieval and Analytics, edited by Hadj Ahmed Bouarara, et al., IGI Global, 2019, pp. 75-90. https://doi.org/10.4018/978-1-5225-7338-8.ch004

APA

Jack, F. (2019). Study on the Different Forms of Plagiarism in Textual Data and Image: Internal and External Detection. In H. Bouarara, R. Hamou, & A. Rahmani (Eds.), Advanced Metaheuristic Methods in Big Data Retrieval and Analytics (pp. 75-90). IGI Global. https://doi.org/10.4018/978-1-5225-7338-8.ch004

Chicago

Jack, Frederic. "Study on the Different Forms of Plagiarism in Textual Data and Image: Internal and External Detection." In Advanced Metaheuristic Methods in Big Data Retrieval and Analytics, edited by Hadj Ahmed Bouarara, Reda Mohamed Hamou, and Amine Rahmani, 75-90. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-7338-8.ch004

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Abstract

We live in a world of information. It is everywhere, but it is sometimes difficult to find and know that data first. In today's digital society, it's easy to find texts to plagiarize. These texts may come from the internet, publishers, or other content providers. Plagiarism is considered a serious fault. Throughout the world, universities are making significant efforts to educate students and teachers, offering guides and tutorials to explain the types of plagiarism, to avoid plagiarism. Internet contains easy to get texts the people can use in their newsrooms simply using copy and paste. This chapter shows the various types of plagiarism and the different techniques of automatic plagiarism detection and related work that addresses the topic.

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