Монополизация медиарынка как вызов демократической управляемости. Цифровая трансформация печатных СМИ и политики госрегулирования (на примере США)
The paper focuses on the transformation of the advertising market under the influence of platform companies, using the US example, to show the mechanism of digital disruption in print media business model. The development of digital infrastructure has allowed platform companies to collect and monetize data, deliver personalized ads to users throughout the internet. A structural shift has occurred – print media have ceased to be the main channels for transmitting advertising messages to certain social groups, advertising platforms are able to find them and deliver them ads on their own. In the framework of platform capitalism, many print media in order to survive try to transform themselves in accordance with the logic of the economic platform model.
Pattern structures, an extension of FCA to data with complex descriptions, propose an alternative to conceptual scaling (binarization) by giving direct way to knowledge discovery in complex data such as logical formulas, graphs, strings, tuples of numerical intervals, etc. Whereas the approach to classification with pattern structures based on preceding generation of classifiers can lead to double exponent complexity, the combination of lazy evaluation with projection approximations of initial data, randomization and parallelization, results in reduction of algorithmic complexity to low degree polynomial, and thus is feasible for big data.
The proceedings of the 11th International Conference on Service-Oriented Computing (ICSOC 2013), held in Berlin, Germany, December 2–5, 2013, contain high-quality research papers that represent the latest results, ideas, and positions in the field of service-oriented computing. Since the first meeting more than ten years ago, ICSOC has grown to become the premier international forum for academics, industry researchers, and practitioners to share, report, and discuss their ground-breaking work. ICSOC 2013 continued along this tradition, in particular focusing on emerging trends at the intersection between service-oriented, cloud computing, and big data.
Desde la perspectiva de la autora del presente estudio, esta última visión explica las recurrentes y cada vez más profundas crisis financieras del último tercio de siglo XX —especialmente la gran debacle económica de 2008—, que los gobiernos han enfrentado con políticas económicas erróneas porque, sin tener en cuenta la génesis de estos fenómenos, en lugar de generar crecimiento económico han priorizado el “rescate” de las instituciones financieras.
The main reason the so-called "crisis of education" covers not only the rap-id changes in the system of knowledge and technology, but also the changes in the labor market, the prevalence of atypical employment. As a result, the univer-sity, by definition, can not train a specialist, fully satisfying the requirements of the employer. For example, the direction of "Advertising and public relations" proposes measures to resolve the existing contradictions.
The relevance of the research topic is due to the formation of a new trend in the development of the education system – digitalization of education, changing the paradigm of educational relations. The process of digitalization of the economy in General and education in particular, as stated in the strategic documents of Federal level in the last two decades and up to 2024, has received a sudden acceleration on the background of quarantine measures spring 2020 and the massive transfer of participants of educational relations in an online format. This topic requires special study, as it is unique in the context of the transformation of relations in any field of human activity, and, especially, in the context of human relations going beyond the analog "offline" world to the "online"world.
In 2015-2016 the Department of Communication, Media and Design of the National Research University “Higher School of Economics” in collaboration with non-profit organization ROCIT conducted research aimed to construct the Index of Digital Literacy in Russian Regions. This research was the priority and remain unmatched for the momentIn 2015-2016 the Department of Communication, Media and Design of the National Research University “Higher School of Economics” in collaboration with non-profit organization ROCIT conducted research aimed to construct the Index of Digital Literacy in Russian Regions. This research was the priority and remain unmatched for the moment
Companies are increasingly paying close attention to the IP portfolio, which is a key competitive advantage, so patents and patent applications, as well as analysis and identification of future trends, become one of the important and strategic components of a business strategy. We argue that the problems of identifying and predicting trends or entities, as well as the search for technical features, can be solved with the help of easily accessible Big Data technologies, machine learning and predictive analytics, thereby offering an effective plan for development and progress. The purpose of this study is twofold, the first is an identification of technological trends, the second is an identification of application areas and/or that are most promising in terms of technology development and investment. The research was based on methods of clustering, processing of large text files and search queries in patent databases. The suggested approach is considered on the basis of experimental data in the field of moving connected UAVs and passive acoustic ecology control.
The article is dedicated to the analysis of Big Data perspective in jurisprudence. It is proved that Big Data have to be used as the explanatory and predictable tool. The author describes issues concerning Big Data application in legal research. The problems are technical (data access, technical imperfections, data verification) and informative (interpretation of data and correlations). It is concluded that there is the necessity to enhance Big Data investigations taking into account the abovementioned limits.
The results of cross-cultural research of implicit theories of innovativeness among students and teachers, representatives of three ethnocultural groups: Russians, the people of the North Caucasus (Chechens and Ingushs) and Tuvinians (N=804) are presented. Intergroup differences in implicit theories of innovativeness are revealed: the ‘individual’ theories of innovativeness prevail among Russians and among the students, the ‘social’ theories of innovativeness are more expressed among respondents from the North Caucasus, Tuva and among the teachers. Using the structural equations modeling the universal model of values impact on implicit theories of innovativeness and attitudes towards innovations is constructed. Values of the Openness to changes and individual theories of innovativeness promote the positive relation to innovations. Results of research have shown that implicit theories of innovativeness differ in different cultures, and values make different impact on the attitudes towards innovations and innovative experience in different cultures.