Suchergebnisse

The article demonstrates the possibilities of using topic modeling to identify propaganda in the media. In modern conditions of increasing information confrontation between countries, propaganda and counter-propaganda come to the forefront, since states need to protect their citizens from various informational threats, to ensure their safety, which is a necessary condition for the further development of the state. To achieve this research projects are necessary to test methods for identifying propaganda. One of such projects, focused on the use of artificial intelligence systems in various applied research areas at the intersection of machine learning, natural language processing and social studies, is presented in the article. The described approach for identifying such a semantically fuzzy phenomenon as propaganda is proposed for the first time. The following definition for political propaganda is suggested - a coordinated, systematic informational influence of the subject of propaganda on target audiences to achieve political goals and promote political ideas.The proposed method includes four main stages: formation of corpus sections, calculation of a thematic model of an overall corpus, calculation of imbalance estimates of corpuses for each topic; extrapolation of the imbalance estimates results to all documents. The method was cross-checked on a subsample of 1000 news marked by an expert and showed a fairly high classification result. Harmonic measure score (F1-Score) varies from 0.72 to 0.94 depending on the selected threshold. ; В статье продемонстрированы возможности использования тематического моделирования (topic modeling) для идентификации пропаганды в СМИ. В современных условиях усиливающегося информационного противостояния между странами пропаганда и контрпропаганда выходят на первый план, так как государствам необходимо оградить своих граждан от различных информационных угроз, обеспечить их безопасность, что является обязательным условием для дальнейшего развития государства. А для этого, прежде всего, необходимы исследовательские проекты, тестирующие методы выявления пропаганды. Один из таких проектов, ориентированный на применение систем искусственного интеллекта в различных прикладных областях исследований на стыке машинного обучения, обработки естественного языка и изучения социума, представлен в статье. Описанный подход для выявления столь семантически нечеткого явления, как пропаганда, предлагается впервые.Предлагаемый метод включает четыре основных этапа: формирование разделов корпуса, расчет тематической модели единого корпуса, расчет оценок дисбаланса корпусов по каждой теме; экстраполяция результатов оценки дисбаланса на все документы. Метод прошел перекрестную проверку на помеченной экспертом подвыборке из 1 тыс. новостей и показал достаточно высокий результат классификации. Оценка гармонической меры (F1-Score) от 0.72 до 0.94 в зависимости от выбранного порога.

Deliberation research is now undergoing two emerging trends: deliberation is shifting from offline to online, as well as from an inherently democratic concept to the one applicable to less competitive regimes (He & Warren, 2011). The goal of this article is to study the peculiarities of deliberative practices in hybrid regimes, taking online discourse on the Russian anti-sanctions policy as a case. We use the Habermasian concept of basic validity claims to assess deliberation quality through the lens of argumentation and interactivity. Our findings suggest that deliberative practices can exist in non-competitive contexts and non-institutionalized digital spaces, in the form of intersubjective solidarities resulting from the everyday political talk among ordinary citizens. Such deliberations can be counted as argumentative discourses, although in a special, casual way—unlike the procedural rule-based debates. Generally, as in established liberal democracies, deliberation in Russia tends to attract like-minded participants. While the argumentative quality does not seem to vary across the discussion threads sample, the level of deliberative interactivity is higher on pro-government media, accompanied with the higher level of incivility. On the other hand, discourses on independent media are distinctively against the government policy of food destruction. The democratic value of such deliberations is unclear and might depend on the political allegiance and ownership of the media. Though some discourses can be considered democratic, their impact on decision-making remains minimal, which is a key constraint of deliberation.

Deliberation research is now undergoing two emerging trends: deliberation is shifting from offline to online, as well as from an inherently democratic concept to the one applicable to less competitive regimes (He & Warren, 2011). The goal of this article is to study the peculiarities of deliberative practices in hybrid regimes, taking online discourse on the Russian anti-sanctions policy as a case. We use the Habermasian concept of basic validity claims to assess deliberation quality through the lens of argumentation and interactivity. Our findings suggest that deliberative practices can exist in non-competitive contexts and non-institutionalized digital spaces, in the form of intersubjective solidarities resulting from the everyday political talk among ordinary citizens. Such deliberations can be counted as argumentative discourses, although in a special, casual way - unlike the procedural rule-based debates. Generally, as in established liberal democracies, deliberation in Russia tends to attract like-minded participants. While the argumentative quality does not seem to vary across the discussion threads sample, the level of deliberative interactivity is higher on pro-government media, accompanied with the higher level of incivility. On the other hand, discourses on independent media are distinctively against the government policy of food destruction. The democratic value of such deliberations is unclear and might depend on the political allegiance and ownership of the media. Though some discourses can be considered democratic, their impact on decision-making remains minimal, which is a key constraint of deliberation.

Part 2: Critical Reflections ; International audience ; The paper examines linkages between the type of the digital media resources that host internet discussions on publicly important issues and the outcomes of such debates viewed from the perspective of online deliberation theory and practice. The presented case-based study analyses seven online discourses that debated the destruction of western agricultural products imported to Russia after the embargo imposed by the Russian government on such food in August 2015. The study hypothesized that the digitally enabled discussions would be similar to face-to-face deliberation practices that tend to attract the like-minded people and thus reinforce the already established beliefs and worldviews among discourse participants. Specifically, it was assumed in this context that the attitude towards the policy of food destruction would differ across the media and depend on its public identity viewed from the perspective of political allegiance. The paper presents empirical evidence that supports – with some caution – the postulated assumption.

The paper is discusses the role of emotionally significant political images in youth culture. The study covers the period between 2006 and 2017 during which Russia saw not only a political and economic transition but also dramatic changes in communication technology. The 6-stage research included two waves of testing in 2006, 2012, 2017. Respondents were aged 17 to 24 years old. In 2017 the general youth international value agenda can be considered formed, with its essential feature being the further reduction of the influence of advertising and communication of politicians' brands.

This article explores the process of creating a centralized system that ensures processing opinions and claims against regional and municipal officials expressed by citizens in social networks, which began in 2020. Previous research by the authors, devoted to a comprehensive study of Russian systems that ensure interaction of authorities with citizens, revealed six channels of electronic participation at the regional and municipal levels. However, the development of social networks and the emergence of new technologies for involving citizens in public policy have created preconditions for the transformation of e-participation systems. This is reflected both in scientific research and in practice — for example, in the Russian Federation in 2020, a new channel of electronic participation began. A network of Regional Governance Centers (RGC) has been created and is developing, one of the components of which is the "Incident Management" system, which allows real-time monitoring of the reaction of users in social networks and ensures the processing of messages or claims of citizens to the authorities. In this regard, it became necessary to further assess the contribution of social networks to the development of the e-participation ecosystem and the place in it of the centralized channels served by the SDG system. The article presents two pilot SDG analyzes conducted by the authors, which made it possible to identify heterogeneity among new structures in terms of institutional affiliation and regional specifics of activities in the social network VKontakte. The important criteria in the issue of measuring efficiency, in the opinion of the authors, are efficiency, the degree of citizen involvement, the fact of solving an incoming problem, organizational and regulatory support of work processes.