SPLAT: A System for Self-Plagiarism Detection

This paper presents a system for self-plagiarism detection, SPLAT. The system uses a WebL web spider that crawls through the web sites of the top fifty Computer Science departments, downloading research papers and grouping them by author. Next a text-comparison algorithm is used to search for instances of textual reuse. Instances of potential selfplagiarism for each author are reported in an HTML document so that they can be considered in more detail, in order to determine if they are truly self-plagiarized papers. The system discovered a number of pairs of papers of questionable originality. KEYWORDS Self-plagiarism, web-spider, text-comparison.

• Type: Conference
• Year: 2003
• Where: IADIS
• Authors: Christian S. Collberg, Stephen G. Kobourov, Joshua Louie, Thomas Slattery
• Keywords: Fifty Computer Science, IADIS 2003, IADIS 2008, Research Papers, WebL Web Spider