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Doctoral Thesis Norman Meuschke

Click on the image to download the thesis (PDF, 10 MB).

 

 

Below you find the data, source code, and other resources for the doctoral thesis:

Analyzing Non-Textual Content Elements to Detect Academic Plagiarism

Norman Meuschke, University of Konstanz, 2021, Grade: summa cum laude.

PDF  |  DOI  |   BibTeX 

Doctoral Defense

Slides

Click on the image to download the slides for the defense talk (PDF, 7 MB).

Data & Source Code

Hybrid Plagiarism Detection System HyPlag

  • Demo system (user: guest@hyplag.org | pw: hybridPD)
  • Source code (login to GitHub first! user: hyplag-guest | pw: hybridPD20)

Citation-based Plagiarism Detection

  • Source Code: see HyPlag source code above
  • Data:

    • Reference collection: 185,170 documents from PMC OAS collection, provided as part of the CITREC dataset (5 GB zipped, ~20 GB raw) — includes document metadata, citation data and pre-computed similarity scores
    • User-perceived cases of plagiarism (available upon request)

Image-based Plagiarism Detection

  • Source Code
  • Data:15 test cases embedded into a reference collection of 10,000 images extracted from PMC OAS documents (547 MB zipped)

Mathematics-based Plagiarism Detection

  • Source Code: see HyPlag source code above
  • Data:

    • Test cases: 10 confirmed cases of plagiarism available as PDF and TEI
      (login to GitHub first! user: hyplag-guest | pw: hybridPD20)
    • Reference collection: 105,120 arXiv documents converted to XHMTL

MEDIA COVERAGE

TV report on our plagiarism detection research

 The regional TV station WDR reports on our plagiarism detection research and our system HyPlag.

Editorial for the KlarText Award reports on our research on plagiarism detection and trusted timestamping

 The KlarText Award recognizes excellent achievements in understandably communicating scientific findings to a general...

Funding approved for 3-year research project by the DFG (German Research Foundation)

 We are happy to announce that the DFG (German Research Foundation), has awarded our group a research grant for our...

Newspaper WZ reports on our plagiarism detection system HyPlag

The Westdeutsche Zeitung interviewed our group member Norman Meuschke about HyPlag and our other efforts to aid in...

University of Wuppertal reports on our HyPlag project

 A news post (in German) featured on the main page of the University of Wuppertal’s website reports on our plagiarism...

Newspaper FAZ reports on our research to detect and deter academic plagiarism

 The Frankfurter Allgemeine Zeitung (FAZ) describes how our research on novel plagiarism detection methods and blockchain...

Best Student Paper Award at the JCDL 2017

 Felix Hamborg and Norman Meuschke received the Best Student Paper Award for their paper Matrix-based News Aggregation:...

Norman Meuschke represents ACM SIGIR at the 50th Turing Award Celebration

 The Special Interest Group on Information Retrieval (SIGIR) within the Association for Computing Machinery (ACM) has...

CitePlag on public radio

 The national public radio broadcasters Deutschlandfunk and Deutschlandradio Kultur covered our collaborative research on...

Media coverage of our CitePlag research

 Several media outlets recently covered our research on Plagiarism Prevention and Detection and our prototype system Cite...

Article about CitePlag in uni'kon

 An article about our plagiarism detection system CitePlag appeared in uni'kon #59. Click on the picture to see the...

CitePlag received a makeover

 CitePlag is the first prototype of a citation-based Plagiarism Detection (CbPD) System. The prototype was recently...
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zuletzt bearbeitet am: 03.12.2021