Abstract: In this paper, we propose a method of machine-generated and non-scientific text detection in a collection of scientific papers. The method is based on lexical and morphological analysis of the document examined with the help of language modeling. This technique enables estimation of probability that the text belongs to the class of scientific documents. Experimental evidence shows feasibility of the approach.

Abstract: All the time scientists need to publish the results of their work in order to remain relevant, meet the time, criteria, and not be outside the scientific community. The well-known principle of “publish or perish” often forces scientists to strive for quantity, not quality [1]. Along with the problems of authorship, paid research, the fabrication of the results, plagiarism and self-plagiarism are among the most common violations. Their impact is more subtle, but no less disruptive for the scientific community.
The article provides an overview of the existing tools for identifying borrowing in the scientific articles of the authors. Decisions’ analysis is performed by com-paring systems for a number of characteristics. The tools are tested on real data to investigate their performance and efficiency.

Abstract: The results about the plagiarism problem are presented. The reasons for its distribution in publishing and educational activities and ways of eradication are considered. Such root causes of this phenomenon as: loss of trust tradition in publishing activity with updating authors; insensitivity to publishing ethics of the modern authors grown up in the period of loyalty to plagiarism; commercialization of anti-plagiarism campaigns; weak motivation of authors to publishing activity. The concept about fairness as honest by J. Rawls is proposed to substantiate the methodological approach to solving the problem of dishonesty in publishing, including plagiarism. With its help, the idea about forming of relationships system "publishing-authors" on the basis of the justice principles as honesty is substantiated. The approach to the formation of the ethical framework for relations in the chain "publishing – authors – students – IT-managers – employers" on the basis of the justice principles, such as: equality rights of the requirements about their own benefits, mutual honesty; ethical restrictions on actions, that harm those in the worst position, which are students-readers. The procedure of development and coordination of justice principles in publishing activity with the help of the website of publishing house is offered. These principles should be reflected in the ethical code of publishing.

Abstract:

Translated plagiarism has widely spread in a scientific world and posed a serious problem due to the challenges in its automatic detection. However, in the last five years some progress has been observed in this area. The authors of this paper, as well as foreign research team from several universities independently of each other proposed an approach to detect plagiarism based on citation analysis with search of initial source for analyzed suspected paper with the same or similar references. Developed methods of detection of illegal use of borrowed text successfully passed several tests. The report shows the results that we have obtained in the last four years.

Abstract: The article presents the events that took place last year in the world of Russian scientific publications. There is a slow slide towards paid access of some academic journals turned in open access in 2018. The European Union has announced plan "S" for the mass transition of scientific journals to open access. New models of the scientific publication are introducing. Reporting on publications requested by the Ministry of education and science in 2019 does not take into account the size of the readership of the article. Neither the Ministry of education and science, nor the Higher Attestation Commission (HAC) does not encourage publication in the public domain. In Russian Science Citation Index began the fight against widespread fraudulent trade in references to the article, but the HAC is not interested in this activity. A proliferation of contradictory the term "self-plagiarism" has spread. This label is widely stigmatized authors and journals for repeated publications.

Abstract: In accordance with the Civil code of the Russian Federation, a research paper is the result of intellectual activity, which is provided with state protection. The author of the research paper owns the right of authorship, the right to a name and other non-property rights. If the paper is created within the framework of the authors' implementation of their official duties, the exclusive right to the paper belongs to the employer.
With the consent of the employer, the author concludes a license agreement with the publisher for the publication of the paper on the terms proposed by the publisher. Signing of the license agreement does not entail the transfer of the exclusive right to the publisher. Even if the employer has instructed the author to enter into a copyright agreement with the publisher under an exclusive license, the employer reserves the right to use the work, including the right to publish the work on its website.
The author (copyright holder) always retains the right to create derivative works. Often imposed by the publisher terms of the license agreement, limiting the author's right to create works on the basis of previously published articles, have no legal force.
The publication by the author of derivative works containing fragments of the author's previous paper should not be considered as a violation of publishing ethics. The term "self-plagiarism" is incorrect.
The Civil code of the Russian Federation establishes a simple (non-exclusive) license that allows several publishers to publish an article without its processing. The publication of article in several editions — this is one of the legal ways of realization of the rights of the author (copyright holder) on a wide publication of a work.

Abstract:

The peculiarities of the task of authors identifying and determining author's contribution to publications in digital bibliographic codes are considered. The features of the problem of insufficient identification are manifested in the repetition of information, doubling, the presence of authors with completely coincidental names, self-quotation, autoplagiate and plagiarism itself. It is proposed to use publication information that has already been accumulated in the digital library in the form of related object area data and a variety of target thesaurus data, as the author and user of the library. This information contains links whereby keyword contexts, multiple co-authors, and term associations in dictionaries and thesauruses can be used to identify authorship. It is important that an array of scientific publications is considered, since they have an established traditional structure, which allows comparing fixed text elements (annotations, keywords, classifier codes, etc.). Thus, even if the names in the publications are fully matched, the question of authorship can be raised if the publications in the digital library correspond to different subject areas. Resolution of such contradictions is accomplished by evaluating a plurality of links of all elements of secondary publication information. The result of the comparison could be the addition of the author to a specific area, i.e. the extension of the addressee's thesaurus and the author's personal thesaurus, or the appearance of full namesakes in the library, but from different areas of knowledge. It has been shown that modern data analysis tools allow you to evaluate the author's contribution to publication, despite the fact that of course, only the scientific community can evaluate the real contribution to scientific research.