Name
Abstract | ||
|---|---|---|
Plagiarism of material from the Internet is a widespread and growing problem. Computer science students, and those in other science and engineering courses, can sometimes get away with a "cut and paste" approach to assembling a paper in part because the expected style of technical writing is less expositional than in liberal arts courses. Detection of cut and paste plagiarism is time-consuming when done by hand, and can be greatly aided by automated software tools. This paper reports on the design of a software tool called SNITCH that implements a fast and accurate plagiarism detection algorithm using the Google Web API. Issues related to plagiarism detection software are discussed and empirical results of a performance and accuracy study are presented. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1145/1121341.1121359 | Proceedings of the 39th SIGCSE technical symposium on Computer science education |
Keywords | Field | DocType |
ethics,technical writing | Software tool,Technical writing,Web API,Plagiarism detection,Computer science,Software,Multimedia,The Internet | Conference |
Volume | Issue | ISSN |
38 | 1 | 0097-8418 |
ISBN | Citations | PageRank |
1-59593-259-3 | 20 | 1.67 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sebastian Niezgoda | 1 | 20 | 1.67 |
| Thomas P. Way | 2 | 43 | 7.05 |