Social network aided plagiarism detection

Zrnec, Aljaž; Lavbič, Dejan

doi:10.1111/bjet.12345

Cited by 7 publications

(4 citation statements)

References 34 publications

(36 reference statements)

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“…At the didactic and scientific level, it has been found that the ethical problem frequently mentioned by teachers is plagiarism, as shown by data of recent studies (Gullifer & Tyson, 2010;Jiang, et al, 2013;Obeid & Hill, 2017;Šprajc et al, 2017), which indicates that "plagiarism" is increasing in higher education. Zrnec and Lavbic (2017) found that plagiarism in higher education was amplified by the use of different types of electronic devices and the amount of content on the Web, as also indicated by the results obtained in the present research. Regarding the relational dimension, the ethical problems mentioned by the university teachers participating in the interview are also found in other research results, such as the difficulties involved in online communication (Capurro & Pingel, 2002) and in the use of personal data (Gupta, 2018).…”

Section: Discussionsupporting

confidence: 86%

Perception of Teachers in Higher Education towards Ethical Issues of Information Technology Use

Mâță

Boghian

2019

RREM

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Our paper presents the results of a type of qualitative research meant to identify the perspective of teachers in higher education on the ethical issues related to information technology use. The research is based on the analysis of the data content obtained by applying a semi-structured interview to 31 teachers working in higher education institutions in Romania. The data processing and interpretation allowed the identification and definition of the general and specific thematic categories related to the perception of teachers in higher education on the ethical aspects of information technology use. The research results are analyzed from the perspective of the following thematic directions: ethical problems of the use of information technology by teachers in teaching-learningevaluation activities, ethical problems of the exploitation of technological resources in carrying out research activities, problematic aspects of the ethical use of technological tools in online communication, teacher training in higher education in the field of ethical use of IT, introduction of these topics in academic courses, existence of rules at the university level for teacher ethical use of IT.

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Section: Discussionsupporting

confidence: 86%

Perception of Teachers in Higher Education towards Ethical Issues of Information Technology Use

Mâță

Boghian

2019

RREM

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“…The source code creation process has been considered as a way of reducing the number of false positives [27], as high similarity among submitted programs does not necessarily imply plagiarism and collusion [28]. Many additional hints for raising suspicion can be derived from the process, such as save timestamps [29], resubmission activity [30], classroom seating position [31], and social network [32].…”

Section: Related Workmentioning

confidence: 99%

Explanation in Code Similarity Investigation

Karnalim

Simón

2021

IEEE Access

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When using code similarity detection to uncover code plagiarism and collusion, the marker needs to determine whether any detected similarities might be the result of coincidence. But understanding the similarities can be difficult and might be prone to human error, because few tools facilitate the investigation process, and if they do, the similarities are not explicitly explained in human language. This paper presents STRANGE, an investigation module that exclusively explains code similarities in natural language (English and Indonesian). For the purpose of reusability, STRANGE can be embedded in JPlag and other code similarity detection tools. It can also act as a standalone tool for measuring source code similarity. Our evaluation shows that STRANGE is more helpful than JPlag in the investigation process since it explains the similarities in natural language. Further, its effectiveness is comparable to that of JPlag but higher on trivial disguises of the sort that novice students will tend to apply when disguising copied code.

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“…Advances in the visualization of scholarly works, including their exposure to social networking sites, may improve the efficiency of detecting and quantifying plagiarism by emerging electronic gadgets ( 66 ). Ultimately, it is believed that a universal plagiarism detection system of cross-checking submissions to all peer-reviewed journals can minimize the number of retractions due to plagiarism, duplication and simultaneous submissions ( 49 ).…”

Section: Detection Of Plagiarismmentioning

confidence: 99%

Plagiarism in the Context of Education and Evolving Detection Strategies

et al. 2017

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Plagiarism may take place in any scientific journals despite currently employed anti-plagiarism tools. The absence of widely acceptable definitions of research misconduct and reliance solely on similarity checks do not allow journal editors to prevent most complex cases of recycling of scientific information and wasteful, or ‘predatory,’ publishing. This article analyses Scopus-based publication activity and evidence on poor writing, lack of related training, emerging anti-plagiarism strategies, and new forms of massive wasting of resources by publishing largely recycled items, which evade the ‘red flags’ of similarity checks.In some non-Anglophone countries ‘copy-and-paste’ writing still plagues pre- and postgraduate education. Poor research management, absence of courses on publication ethics, and limited access to quality sources confound plagiarism as a cross-cultural and multidisciplinary phenomenon. Over the past decade, the advent of anti-plagiarism software checks has helped uncover elementary forms of textual recycling across journals. But such a tool alone proves inefficient for preventing complex forms of plagiarism. Recent mass retractions of plagiarized articles by reputable open-access journals point to critical deficiencies of current anti-plagiarism software that do not recognize manipulative paraphrasing and editing. Manipulative editing also finds its way to predatory journals, ignoring the adherence to publication ethics and accommodating nonsense plagiarized items. The evolving preventive strategies are increasingly relying on intelligent (semantic) digital technologies, comprehensively evaluating texts, keywords, graphics, and reference lists. It is the right time to enforce adherence to global editorial guidance and implement a comprehensive anti-plagiarism strategy by helping all stakeholders of scholarly communication.

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Social network aided plagiarism detection

Cited by 7 publications

References 34 publications

Perception of Teachers in Higher Education towards Ethical Issues of Information Technology Use

Perception of Teachers in Higher Education towards Ethical Issues of Information Technology Use

Explanation in Code Similarity Investigation

Plagiarism in the Context of Education and Evolving Detection Strategies

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