Abstract
In the era of exponentially growing web and exploding online education the problem of digital plagiarism has become one of the most burning ones in many areas. Efficient internet plagiarism detection tools should have a capacity similar to that of conventional web search engines. This requirement makes commercial plagiarism detection services expensive and therefore less accessible to smaller education institutions. This work-in-progress paper proposes the concept of crowdcrawling as a tool to distribute the most laborious part of the web search among community servers thus providing scalability and sustainability to the community driven plagiarism detection. It outlines roles for community members depending on the resources they are willing to contribute to the service.
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