Peer reviewedERIC Number: EJ725577
Record Type: Journal
Publication Date: 2005-Sep-1
Pages: 7
Abstractor: ERIC
ISBN: N/A
ISSN: ISSN-0146-3934
EISSN: N/A
Using the Google Search Engine to Detect Word-for-Word Plagiarism in Master's Theses: A Preliminary Study
McCullough, Mark; Holmberg, Melissa
College Student Journal, v39 n3 p435 Sep 2005
The purpose of this research was to explore Google's potential for detecting occurrences of word-for-word (1) plagiarism in master's theses. The authors sought answers to these questions:1. Is Google an effective tool for detecting plagiarism in master's theses?2. Is Google an efficient tool for detecting plagiarism in master's theses?The first question relates to the nature of graduate research and the types of resources on the World Wide Web. Graduate level research in most academic disciplines requires extensive use of professional journals and monographs. Some of these materials are not available in electronic formats
Descriptors: Internet, Plagiarism, Masters Theses, Search Engines, Graduate Students, Intellectual Property, Efficiency, Online Searching, Access to Information, Graduate Study, Student Research
Project Innovation, Inc., P.O. Box 8508, Spring Hill Station, Mobile, AL 36689-0508. Web site: http://journals825.home.mindspring.com/csj.html.
Publication Type: Dissertations/Theses - Masters Theses; Journal Articles; Reports - Research
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
