Increased access to the Internet has dramatically increased the sources from which students can deliberately or accidentally copy information. This paper discusses our motivation to design, implement, and deploy an Internet based plagiarism detection system, called PAIRwise, to address this growing problem. We give details as to how we detect plagiarism and the various development phases we wen...

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...

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....

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...

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 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...

To detect plagiarism of any form, it is essential to have broad knowledge of its possible forms and classes, and existence of various tools and systems for its detection. Based on impact or severity of damages, plagiarism may occur in an article or in any production in a number of ways. This survey presents a taxonomy of various plagiarism forms and include discussion on each of these forms. Ov...

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...

Student plagiarism is an ever-increasing problem for academic institutions. A growing number of students are using material from the Web in their submissions, without properly acknowledging the source. This paper reviews the need for widespread plagiarism detection systems and evaluates available Web based detection services. Four services are discussed: the Measure of Software Similarity (MOSS...