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master's thesis
Intrinzična detekcija plagijata
Zagreb: University of Zagreb, University of Zagreb, Faculty of Humanities and Social Sciences, 2020. urn:nbn:hr:131:681101
Viher, Helena
University of Zagreb
Faculty of Humanities and Social Sciences
Department of information and Communication sciences

Institutional repository: ODRAZ

Cite this document

Viher, H. (2020). Intrinzična detekcija plagijata (Master's thesis). Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:131:681101

Viher, Helena. "Intrinzična detekcija plagijata." Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, 2020. https://urn.nsk.hr/urn:nbn:hr:131:681101

Viher, Helena. "Intrinzična detekcija plagijata." Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, 2020. https://urn.nsk.hr/urn:nbn:hr:131:681101

Viher, H. (2020). 'Intrinzična detekcija plagijata', Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, accessed 28 April 2024, https://urn.nsk.hr/urn:nbn:hr:131:681101

Viher H. Intrinzična detekcija plagijata [Master's thesis]. Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences; 2020 [cited 2024 April 28] Available at: https://urn.nsk.hr/urn:nbn:hr:131:681101

H. Viher, "Intrinzična detekcija plagijata", Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:131:681101

Metadata
TitleIntrinzična detekcija plagijata
Title (english)Intrinsic plagiarism detection
AuthorHelena Viher
MentorVedran Juričić (mentor)
Committee memberSanja Seljan (predsjednik povjerenstva)
Committee memberIvan Dunđer (član povjerenstva)
Committee memberVedran Juričić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Humanities and Social Sciences
(Department of information and Communication sciences)
Zagreb
Defense date and country2020-12-07, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Abstract
Detekcija plagijata podrazumijeva pronalaženje i prepoznavanje plagiranih dijelova teksta unutar pisanih dokumenata kao što su znanstveni radovi, školski eseji i seminarski radovi, no može se provesti i nad programskim kodom, umjetničkim djelima i sl. Pojavom interneta plagiranje je postalo sve prisutnije, a zbog velike količine izvora iz kojih je moguće plagirati, detekcija plagijata bez pomoći računala uvelike je otežana. Kod računalno potpomognute detekcije plagijata moguća su dva pristupa: ekstrinzični i intrinzični. Ekstrinzična detekcija uspoređuje rad s referentnim tekstovima, dok intrinzična detekcija plagirane dijelove teksta prepoznaje na temelju nedosljednosti u tekstu te promjena u stilu pisanja. U radu se daje pregled intrinzične detekcije plagijata, prikazuje njen način rada i pristupi koji se koriste u detekciji promjena u stilu pisanja. Na samom kraju navode se prednosti i nedostaci ovog pristupa te evaluacija uspješnosti u pronalaženju plagiranih dijelova teksta.
Abstract (english)
Plagiarism detection involves finding and recognizing plagiarized parts of text within written documents such as scientific papers, school essays, seminar papers, etc., and can also be performed on program code, works of art and other examples of work. With the advent of the Internet, plagiarism has become more prevalent and due to a large number of sources to plagiarize from the detection of plagiarism without the help of a computer is greatly hampered. In computer-assisted plagiarism detection two approaches are possible: extrinsic and intrinsic. Extrinsic detection compares the work with reference texts, while intrinsic detection recognizes plagiarized parts of the text based on inconsistencies in the text and changes in writing styles. This paper provides an overview of intrinsic plagiarism detection, shows how it operates and the approaches used in detecting changes in writing styles. At the very end, the advantages and disadvantages of this approach are stated and the evaluation of its success in finding plagiarized parts of the text.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:131:681101
Study programmeTitle: Information Sciences; specializations in: Informatology, Information Sciences (teaching), Information Sciences (research)
Course: Information Sciences (research)
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra informacijskih znanosti (magistar/magistra informacijskih znanosti)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2020-12-10 12:07:11