While noting the general trend for the regulation of digital relations in the sphere of criminal court proceedings, the authors draw attention to the absence of a common approach to this work, or of a universal understanding of criminal procedure norms regarding digital relations, as well as to the drawbacks in preparing new norms that regulate digital relations. Problems connected with the regulation of electronic processes are not specific for Russia only. Laws of some countries do not recognize evidence obtained electronically, and view it as secondary. The results of implementing the road map of digital economy and the approaches to the definition and typification of digital platforms are the basis for laying the foundations of the criminal proceedings’ digitization in Russia. Large-scale growth of innovations for the platforms and an increasing complexity of their architecture enable the solution of a new research task — the spread of digital platforms to various sectors, in this case, to the sphere of criminal proceedings. The authors use the definition of a digital platform approved by the Russian Governmental Commission on Digital Development to formulate their own definition of a digital information platform as an object of normative legal regulation in the sphere of criminal proceedings and prove that it should belong to sectoral digital platforms. The value of the transition to the normative legal regulation of digital information systems in the sphere of court proceedings lies in the reduction of costs and the elimination of the subjective factor by using a package of digital technologies of data processing and changing the system of the division of labor while reaching the purpose of criminal justice. The authors also stress the inappropriateness of simplification and primitivism, when a criminal procedure system is mechanically viewed as a system of distributed registers (blockchain), or when digitization is used as an excuse for suggesting the abolishment of investigative departments as parasites in the digital reality where crime investigation and solution become a job for ordinary internet users.

The article deals with mass media techniques based on the algorithms of artificial intelligence, principles of machine learning and deep learning based on neural networks, and recommenders. The authors provide an analytical review of experiences of applying these techniques in various spheres, namely, data processing and analysis, automated production of reports on current events and facts, interactive communication with audience, tracking newsworthy events, fact-checking, visual discovery, video content production, and others. The mass media techniques are demonstrated by the list of examples of Reuters News Tracer, Wordsmith, Heliograf, Perspective (an interface of applied programming), Newswhip, Quackbot, Guardian Chatbot, Wibbitz, Factmata, et al. Factmata is given special attention to as a complex approach to algorithmization of the Media that includes such methods as contextualization of statements, arguments and stories, and keeping a blacklist of domains which the algorithms mark as hateful, hyperpartisan, toxic, or fake news. The authors note that machine learning of algorithms for generating and analyzing texts is becoming easily accessible. Moreover, the new generation of algorithms based on artificial intelligence is able to identify text sentiment. The analysis of the impact of the media environment, including such factors as echo chamber and filter bubble, on information users shows that information can now be compared to a drug which is almost legal and easily available for use by any social group, and its users, due to targeting and personalization, are transforming into its «ideal consumers».

The article examined the role of the State Automated System of the Russian Federation «Elections» in ensuring the active citizen participation in the election process. We analyzed the prerequisites for the reengineering of the State Automated System of the Russian Federation «Elections». The research determined the main approaches to the construction of models of the information system that ensure the electoral process. The authors analyzed the problems that arise when using the centralized database model. The study demonstrated the importance of providing election commissions located in hard-to-reach settlements with reliable communication channels. Solutions are proposed to reduce the negative consequences of the transition to a centralized database model by using local data caching on the web client side. The mechanism of local caching using the Service Worker API is considered. Various scenarios for using the Service Worker in the context of the electoral process, taking into account the category and importance of the data, were studied and demonstrated. The study analyzed the software employed by election commissions — the Sputnik browser for the possibility of using the proposed concept of local caching in it.

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This study examined the problems of calculating the time to create a software product using the example of the company "RKIT" LLC. The article discussed the analysis of the most effective, from the point of view of the authors, methods for assessing the complexity of projects. As a result of the review, the authors suggested to create a decision support system. This system will consist of two blocks: an automated information computing system based on the PERT method and an artificial intelligence system in the form of an expert system, which is a repository of expert knowledge. The creation of a DSS will reduce the time for experts to make decisions and reduce the likelihood of a decrease in the profitability of the project, which will lead to an increase in the company's profit.