Calling Off the Hounds: Technology and the Visibility of Plagiarism

Purdy, James P.

doi:10.1215/15314200-5-2-275

Cited by 37 publications

(22 citation statements)

References 9 publications

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“…Text-matching software cannot distinguish between properly cited quotations and plagiarism (Purdy, 2005), nor can they detect if another writer has been paid to write the submission, and they do not often flag patchwriting, or when the writer changes a few words in a quoted phrase. Furthermore, Turnitin's internet database, more than 45 billion webpages, is roughly the same size as that of popular search engines, over 49 billion webpages, which are free for any internet user (Turnitin, 2016;de Kunder, 2016).…”

Section: Corpus Analysismentioning

confidence: 99%

Challenging the profiles of a plagiarist: a study of abstracts submitted to an international interdisciplinary conference

et al. 2017

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Much of the current literature on plagiarism focuses on students, attempting to understand how students view the concept of plagiarism, the best ways to prevent it, and the impact of collaboration on the concept of original authorship. In this article, we look at the role of plagiarism in 761 conference abstracts written by graduate students, early-to late-career faculty, and industry representatives, representing institutions from nearly 70 countries. These abstracts were submitted for participation in an international conference focused on the liberal arts hosted by our institution over the past four years. This study analyzes the corpus for patterns of plagiarism among professional academic writers. Our findings indicate that, while other demographic categories were not consistent indicators of text-matching, full professors were the most prevalent group to produce self-plagiarized abstracts. Overall, our study illuminates the significance of power dynamics in conferences' efforts to maintain academic integrity.

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Section: Corpus Analysismentioning

confidence: 99%

Challenging the profiles of a plagiarist: a study of abstracts submitted to an international interdisciplinary conference

et al. 2017

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“…In (McCabe, 2005; OECD Reviews, 2017; Phillips, 2015; Roig, 2006; Survey Summery, 2013) various forms of plagiarism are discussed. The issue of accuracy and utility of the electronic detection systems were reviewed in the studies of (Badge et al, 2009;Bull et al, 2000;Purdy, 2005;Royce, 2003). Given the growing concern over the quality of education and in particular plagiarism issues in Ukrainian higher educational institutions, this article provides comparative analysis of three plagiarism detection systems and their most important features.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Comparative Analysis of Plagiarism Detection Systems

Shkodkina¹,

Pakauskas²

2017

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This article compares plagiarism detection systems according to the list of criteria, compiled from the most challenging and important features for users in Ukrainian higher educational institutions. In addition it describes types of text-based plagiarism and provides an overview of the most common and serious forms of plagiarism around the world and in Ukraine in particular.The authors carried out a comparative analysis of three plagiarism detection systems − Turnitin, Unicheck, eTXT − and highlighted advantages and disadvantages of each one for the use in Ukraine. However, in further studies there might be a need for revising and expanding the list of criteria depending on the subject and the aim of using plagiarism checkers.

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“…In their endorsement of the software, Atkins and Nelson, too, emphasize its labor-saving potential for teachers (2001, p. 104). However, when James P. Purdy (2005) compared two services (EduTie and EVE2) with the free searching available at Google, he recommended against his college's purchase of these or similar services: "Because Google, a free service, generally performed on par with these fee-based services, there is no obvious advantage in purchasing them. Moreover, these fee-based services appear to cause more problems than they solve" (p. 282).…”

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confidence: 99%