Norman Meuschke
Analyzing Non-Textual Content Elements to Detect Academic Plagiarism
Analyzing Non-Textual Content Elements to Detect Academic Plagiarism
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- More about Analyzing Non-Textual Content Elements to Detect Academic Plagiarism
Format: Paperback / softback
Length: 272 pages
Publication date: 01 August 2023
Publisher: Springer Fachmedien Wiesbaden
Identifying plagiarism is a pressing problem for research institutions, publishers, and funding bodies. Incorporating non-textual content analysis complements text-based detection approaches and increases the detection effectiveness, particularly for disguised forms of plagiarism.
Dimension: 210 x 148 (mm)
ISBN-13: 9783658420611
Edition number: 1st ed. 2023
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