scholarly journals Turnitoff: identifying and fixing a hole in current plagiarism detection software

2010 ◽  
Vol 35 (6) ◽  
pp. 647-660 ◽  
Author(s):  
James Heather
Keyword(s):  
Plagiarism Detection ◽  
Detection Software

Plagiatserkennungssoftware in der Praxis: Ein erster Erfahrungsbericht / Plagiarism detection software in practice: A first experience report / Logiciel de détection de plagiat dans la pratique: Un premier examen

2014 ◽  
Vol 65 (1) ◽  
Author(s):  
Sabrina Mayer ◽  
Stefan Röhle
Keyword(s):  
Experience Report ◽  
Plagiarism Detection ◽  
Detection Software

Laut FAIRUSE-Studie, die von Soziologen der Universität Bielefeld und der Universität Würzburg im Auftrag des Bundesbildungsministeriums für Bildung und Forschung (BMBF) durchgeführt wurde, gibt beinahe jeder fünfte Studierende zu, mindestens einmal in den letzten sechs Monaten plagiiert zu haben. Die im Rahmen der Studie erhobenen Zahlen sind besorgniserregend und wecken das Bedürfnis nach technischen Möglichkeiten, um Plagiate und Fälschungen leichter aufzuspüren. Im Interview mit dem an der Universitätsbibliothek Mainz angesiedelten Projekt „Akademische Integrität“ erklären Stefan Röhle vom Zentrum für Datenverarbeitung (ZDV) der Johannes Gutenberg-Universität Mainz und Sabrina Mayer vom Institut für Politikwissenschaft an der Johannes Gutenberg-Universität Mainz (JGU), welche technologiebasierten Maßnahmen dort zum Einsatz kommen, um Plagiate aufzuspüren und wie sie zu bewerten sind.

Selection of Plagiarism Detection Software and Its Integration Into Moodle for Universities

2019 ◽  
pp. 200-215 ◽  
Author(s):  
Mehmet Bilge Kağan Önaçan ◽  
Mesut Uluağ ◽  
Tolga Önel ◽  
Tunç Durmuş Medeni
Keyword(s):  
Higher Education ◽  
Open Source ◽  
Selection Criteria ◽  
Nominal Group Technique ◽  
Education Institution ◽  
Nominal Group ◽  
Plagiarism Detection ◽  
Software Packages ◽  
Detection Software ◽  
Selection Of

Plagiarism detection software packages have an important role in detection of plagiarism in exams, assignments, projects, and scientific researches. The main goal of this chapter is the selection of plagiarism detection software (PDS) and its integration into Moodle, an open source learning management system (LMS), for the use of a higher education institution. For this reason, first, the selection criteria are determined by nominal group technique (NGT) and then the most appropriate PDS is selected. At the end of the study, Crot, an open source PDS, is determined and integrated into Moodle. The suggested selection criteria would be useful for other higher education institutions in Turkey and other countries that rely on open software.

Selection of Plagiarism Detection Software and Its Integration Into Moodle for Universities

2018 ◽  
pp. 239-258
Author(s):  
Mehmet Bilge Kağan Önaçan ◽  
Mesut Uluağ ◽  
Tolga Önel ◽  
Tunç Durmuş Medeni
Keyword(s):  
Higher Education ◽  
Open Source ◽  
Selection Criteria ◽  
Nominal Group Technique ◽  
Education Institution ◽  
Nominal Group ◽  
Plagiarism Detection ◽  
Software Packages ◽  
Detection Software ◽  
Selection Of

Plagiarism detection software packages have an important role in detection of plagiarism in exams, assignments, projects, and scientific researches. The main goal of this chapter is the selection of plagiarism detection software (PDS) and its integration into Moodle, an open source learning management system (LMS), for the use of a higher education institution. For this reason, first, the selection criteria are determined by nominal group technique (NGT) and then the most appropriate PDS is selected. At the end of the study, Crot, an open source PDS, is determined and integrated into Moodle. The suggested selection criteria would be useful for other higher education institutions in Turkey and other countries that rely on open software.

Academic Misconduct and the Internet

2017 ◽  
pp. 82-111 ◽  
Author(s):  
David Ison
Keyword(s):  
Best Practices ◽  
Empirical Studies ◽  
Negative Influence ◽  
Academic Misconduct ◽  
Study Data ◽  
Future Research ◽  
The Internet ◽  
Plagiarism Detection ◽  
Subsequent Section ◽  
Detection Software

This chapter provides a general background on the problem of plagiarism, how the Internet has been implicated as a negative influence on Academic Integrity (AI), empirical study data on the influences of the Internet on plagiarism, reasons why students may conduct plagiarism, and best practices in the use of plagiarism detection. Within the first section, three empirical studies are highlighted to indicate the actual occurrence of plagiarism in graduate education and the role the Internet may play in influencing AI. In the second section, a description of both how and why students conduct plagiarism is presented. Existing literature on the topic is explored to better inform stakeholders on the ‘why' component with suggestions for potential mitigating solutions. The subsequent section describes plagiarism detection software that is commonly in use across the globe including best practices on how to interpret detection results. Lastly, recommendations and calls for future research are provided.

scholarly journals RETRACTION: The biological mechanism involved in anticancer properties of amniotic membrane

2020 ◽  
Vol 14 (1) ◽  
Author(s):  
Camillo Porta
Keyword(s):  
Amniotic Membrane ◽  
Review Process ◽  
Peer Review Process ◽  
Scientific Integrity ◽  
Biological Mechanism ◽  
Plagiarism Detection ◽  
Biological Mechanisms ◽  
Anticancer Properties ◽  
Detection Software

To our readers: With deep regrets, we inform our Readers that the article The biological mechanism involved in anticancer properties of amniotic membrane (DOI: https://doi.org/10.4081/oncol.2020.429), which has been published in the current issue of Oncology Reviews (2020-1), contains verbatim text plagiarized from another paper.1 The manuscript must be considered as retracted. On behalf of the Editorial Board of Oncology Reviews, I apologize to the Author of the manuscript whose text was plagiarized by Ameneh Jafari, Hassan Niknejad, Mostafa Rezaei-Tavirani, Caitlin D’Amico, Hakimeh Zali that this was not picked up in the peer review process. I also apologize to the affected journal for the violation of copyright due to plagiarism. Unfortunately we were not able to detect it before publication due to the language of the original paper (Slovenian). Oncology Reviews is uncompromising in its commitment to scientific integrity. When credible evidence of misconduct is brought to our attention, our commitment to the scientific record and to our readership requires immediate notification. Oncology Reviews is increasingly employing sophisticated software to detect plagiarism. Other journals use similar tools. Authors should be aware that most journals routinely employ plagiarism detection software, and that any plagiarism is likely to be detected. Camillo Porta, Editor-in-Chief Oncology Reviews   Reference1. Ramuta TZ, Cirman T, Erdani Kreft M. Celično-biološki mehanizmi delovanja amnijske membrane proti raku in možnosti za njeno uporabo pri zdravljenju raka [Cell-biological mechanisms of amniotic membrane anticancer activity and the possibilities of its use in anticancer therapy]. Slovenian Medical Journal (Zdravniški vestnik) 2018;87(9-10):483-92. (DOI: 10.6016/ZdravVestn.2674).

Rapid Assessment of Assignments Using Plagiarism Detection Software

2011 ◽  
Vol 36 (6) ◽  
pp. 236-237 ◽  
Author(s):  
Whitney R. Bischoff ◽  
Patricia C. Ábrego
Keyword(s):  
Rapid Assessment ◽  
Plagiarism Detection ◽  
Detection Software
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