Plagiarism detection tools for scientific e-journals publishing

Abstract

The paper deals with the concept of plagiarism, self-plagiarism and their basic types. Open access to scientific global experience in the Internet and the benefits of electronic format led to the appearance of a numerous array of works that duplicate each other. With the exponential growth in scientific production, plagiarism has become a huge problem for editors of scientific e-journals because it is too difficult to detect immediately its presence in the manuscript. The article’s object is the plagiarism automatic detection tools for text documents. The purpose of the presented research is to consider this popular software and online resources and their possibility to check text similarity, carry out their detailed analysis test and evaluate them according to defined software specifications, productivity of functioning and obtained results during the checking. As a result, there are presented recommendations of tools that meet the needs of scholars and can be used by the editors of scientific journals.