Social Network Aided Plagiarism Detection

Autor/inn/en	Zrnec, Aljaž; Lavbic, Dejan
Titel	Social Network Aided Plagiarism Detection
Quelle	In: British Journal of Educational Technology, 48 (2017) 1, S.113-128 (16 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Lavbic, Dejan)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0007-1013
DOI	10.1111/bjet.12345
Schlagwörter	Social Networks; Plagiarism; Identification; Prevention; Web Sites; Information Sources; Semantics; Visualization; Authors; Documentation; Data Collection; Computer Software; Statistical Analysis; Network Analysis; Measurement Techniques; Efficiency + Suchen Sie Ihr Suchwort? Social network; Soziales Netzwerk; Plagiat; Identifikation; Identifizierung; Prävention; Vorbeugung; Web-Design; Information source; Informationsquelle; Semantik; Visualisation; Visualisierung; Author; Autor; Autorin; Dokumentation; Data capture; Datensammlung; Statistische Analyse; Netzplantechnik; Messtechnik; Effectiveness; Effektivität; Wirkungsgrad
Abstract	The prevalence of different kinds of electronic devices and the volume of content on the Web have increased the amount of plagiarism, which is considered an unethical act. If we want to be efficient in the detection and prevention of these acts, we have to improve today's methods of discovering plagiarism. The paper presents a research study where a framework for the improved detection of plagiarism is proposed. The framework focuses on the integration of social network information, information from the Web, and an advanced semantically enriched visualization of information about authors and documents that enables the exploration of obtained data by seeking of advanced patterns of plagiarism. To support the proposed framework, a special software tool was also developed. The statistical evaluation confirmed that the employment of social network analysis and advanced visualization techniques led to improvements in the confirmation and investigation stages of the plagiarism detection process, thereby enhancing the overall efficiency of the plagiarism detection process. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01