BACKGROUND This study was conducted to develop a questionnaire in order to evaluate knowledge, attitude and practice (KAP) of the faculty members and students toward plagiarism. METHODS A KAP study was conducted from June to October 2011 enrolling 390 volunteers anonymously (response rate 96%). The questionnaire included the following four parts: (a) general characteristics like gender, acade...

This paper looks at the background and history of plagiarism and self plagiarism, reviews aspects of academic self plagiarism from the academic, the institution and publisher’s point of view and provides a handy check-list of the current definitions and requirements.

This paper presents a survey of computer algorithms used for the detection of student plagiarism. A summary of several algorithms is provided. Common features of the different plagiarism detection algorithms are described. Ethical and administrative issues involving detected plagiarism are discussed.

a r t i c l e i n f o This study investigates factors affecting the adoption of anti-plagiarism software. Using protection motivation theory as a basis, this research examines the influence of threat and coping appraisals, along with social influences, moral obligation, and actual control variables, on the adoption of anti-plagiarism software. A field survey of 218 faculty members working at U....

The Biomedical Imaging and Intervention Journal (biij), like all other scientific journals, is concerned with the serious issue of plagiarism. The Publications Committee of the International Organization of Medical Physics (IOMP) has prepared an editorial on plagiarism, which is reproduced here with some modifications, with permission from the IOMP. In addition, this editorial is also consisten...

Different similarity measures are available for comparison of textual data. These similarity measures are used for plagiarism detection. This research paper proposes a new similarity measure. Moreover, this paper proposes to consider length of content for plagiarism score determination. General Terms Data mining, plagiarism detection.

In the comment thread at http://scienceblogs.com/pharyngula/2008/02/a_baffling_failure_of_peer_rev.php, commenter “Sili” first suggested that the style of the Warda and Han paper suggested it might be plagiarized; Ian York (“Ian”) first noticed plagiarism of McDonald et al.; “RobertC” first noticed plagiarism of John et al.; and Lars Juhl Jensen first noticed the plagiarism of Finck and Kelly a...

In this paper we report on our plagiarism detection system which is used to process the PAN plagiarism corpus for the tasks of Candidate Document Retrieval and Detailed Comparison. To retrieve the plagiarism candidate document by using ChatNoir API, a method based on tf*idf to extract the keywords of suspicious documents as queries is proposed. An Lucene ranking method is used for plagiarism ca...

Using keyword overlaps to identify plagiarism can result in many false negatives and positives: substitution of synonyms for each other reduces the similarity between works, making it difficult to recognize plagiarism; overlap in ambiguous keywords can falsely inflate the similarity of works that are in fact different in content. Plagiarism detection based on verbatim similarity of works can be...

This paper regards the query keywords selection problem in source retrieval as learning a ranking model to choose the method of keywords extraction over suspicious document segments. Four basic methods are used in our ranking function: BM25, TFIDF, TF and EW. Then, a ranking model based on Ranking SVM is proposed to rank the query keywords group which is contributed to get the higher evaluation...