Visual Assessment of Alleged Plagiarism Cases

Simple item page
dc.contributor.authorRiehmann, Patricken_US
dc.contributor.authorPotthast, Martinen_US
dc.contributor.authorStein, Bennoen_US
dc.contributor.authorFroehlich, Bernden_US
dc.contributor.editorH. Carr, K.-L. Ma, and G. Santuccien_US
dc.date.accessioned2015-05-22T12:50:53Z
dc.date.available2015-05-22T12:50:53Z
dc.date.issued2015en_US
dc.description.abstractWe developed a visual analysis tool to support the verification, assessment, and presentation of alleged cases of plagiarism. The analysis of a suspicious document typically results in a compilation of categorized ''finding spots''. The categorization reveals the way in which the suspicious text fragment was created from the source, e.g. by obfuscation, translation, or by shake and paste. We provide a three-level approach for exploring the finding spots in context. The overview shows the relationship of the entire suspicious document to the set of source documents. A glyph-based view reveals the structural and textual differences and similarities of a set of finding spots and their corresponding source text fragments. For further analysis and editing of the finding spot's assessment, the actual text fragments can be embedded side-by-side in the diffline view. The different views are tied together by versatile navigation and selection operations. Our expert reviewers confirm that our tool provides a significant improvement over existing static visualizations for assessing plagiarism cases.en_US
dc.description.number3en_US
dc.description.sectionheadersText & Humanitiesen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume34en_US
dc.identifier.doi10.1111/cgf.12618en_US
dc.identifier.pages061-070en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12618en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectH.5.2 [Computer Graphics]en_US
dc.subjectUser Interfacesen_US
dc.subjectGraphical user interfacesen_US
dc.titleVisual Assessment of Alleged Plagiarism Casesen_US
Files
Collections
34-Issue 3
EuroVis15: Eurographics Conference on Visualization