Topic
Plagiarism detection
About: Plagiarism detection is a research topic. Over the lifetime, 1790 publications have been published within this topic receiving 24740 citations.
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TL;DR: This paper proposes a new similarity detection technique not only based on token sequence matching but also on the factorization of the function call graphs, useful to infer metrics quantifying similarity at a function level.
8 citations
TL;DR: The tool Kato is presented for supporting the detection of source-code plagiarism in the area of answer-set programming (ASP) and it is designed to handle other logic-programming dialects as well.
Abstract: Plagiarism detection is a growing need among educational institutions and solutions for different purposes exist. An important field in this direction is detecting cases of source-code plagiarism. In this paper, we present the tool Kato for supporting the detection of this kind of plagiarism in the area of answer-set programming (ASP). Currently, the tool is implemented for DLV programs but it is designed to handle other logic-programming dialects as well. We review the basic features of Kato , introduce its theoretical underpinnings, and discuss an application of Kato for plagiarism detection in the context of courses on logic programming at the Vienna University of Technology.
8 citations
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01 Mar 2011
TL;DR: In this paper, the authors introduce some valuable papers dealt with plagiarism as a representative research misconduct and introduce a plagiarism detection tool to detect plagiarism in scientific articles. But plagiarism is not restricted to the stage of publication, it can be extended to prior stages of proposing (i.e., preparing the research proposal) and performing (executing the research), and reviewing (writing the review papers).
Abstract: Due to its role in maintaining the health of scientific societies, research ethics (or integrity) is notably receiving attention by academia, governments and even individuals who are not engaged in scientific researches. In this paper, I will introduce some valuable papers dealt with plagiarism as a representative research misconduct. In general, researcher's results that will soon be published must meet the crucial scientific criteria: originality, accuracy, reproducibility, precision and research ethics. The definition of plagiarism is "appropriation of another person's ideas, processes, results, or words without giving appropriate credit." Compared to fabrication and falcification, plagiarism is often considered as a minor misconduct. With intentionality, however, plagiarism can be corresponding to 'theft of intellectual product'. The context of plagiarism is not restricted to the stage of publication. It can be extended to prior stages of proposing (i.e. preparing the research proposal) and performing (executing the research), and reviewing (writing the review papers). Duplicate publication is regarded as a self-plagiarism in broad interpretation of plagiarism. To avoid dangers of plagiarism, earnest efforts from all members of scientific community are needed. First of all, researchers should keep 'transparency' and 'integrity' in their scientific works. Editorial board members and reviewers should keep fairness and well-deserved qualification. Government and research foundations must be willing to provide sufficient financial and policy support to the scientific societies; Up-graded editorial services, making good use of plagiarism detection tools, and thorough instruction on how to write a honest scientific paper will contribute to building up a healthy basis for scientific communities.
8 citations
Journal Article•
TL;DR: This paper presents preliminary results on algorithm implementation for processing of 1000+ submissions archive and discusses problems in the implementation of existing anti-plagiarism systems, and describes the open architecture that could be used for plagiarism detection in different kind of assignments.
Abstract: Plagiarism is a problem in many education institutions around the world. Preventing digital plagiarism requires enormous amount of work from educator. In this paper we concentrate on implementation of well known anti-plagiarism algorithm for local and global search for the original source of plagiarized assignment. We first discuss problems in the implementation of existing anti-plagiarism systems, and then describe the open architecture that could be used for plagiarism detection in different kind of assignments from plain text to audio submissions. Finally we present preliminary results on algorithm implementation for processing of 1000+ submissions archive. We hope this paper will add a trend to the discussion of anti-plagiarism systems especially for new types of assignments.
8 citations
23 Sep 2013
TL;DR: The value of identifying co-occurrences in citations is assessed by checking whether this method can identify cases of plagiarism in a dataset of scientific papers and showing that most the cases in which co-Occurrences were found indeed correspond to plagiarised passages.
Abstract: Research in external plagiarism detection is mainly concerned with the comparison of the textual contents of a suspicious document against the contents of a collection of original documents. More recently, methods that try to detect plagiarism based on citation patterns have been proposed. These methods are particularly useful for detecting plagiarism in scientific publications. In this work, we assess the value of identifying co-occurrences in citations by checking whether this method can identify cases of plagiarism in a dataset of scientific papers. Our results show that most the cases in which co-occurrences were found indeed correspond to plagiarised passages.
8 citations