DEEPFAKE AS A PHENOMENON OF POLITICAL COMMUNICATION

2021 ◽  
Vol 27 (6) ◽  
pp. 101-106
Author(s):  
М. Falaleev ◽  
◽  
N. Sitdikova ◽  
Е. Nechay ◽  
◽  
...  

The development of digital technologies, coupled with progress in the development of self-learning programs based on AI (Artificial Intelligence), has obvious advantages in improving the effectiveness of information impact on people around the world. During the 2010s, researchers have documented trends in the use of artificial intelligence for the construction and distribution of media content to indirectly manipulate political discourse at the national and global levels. Special interest in the context of this issue is how the rapid development of AI technologies affects political communication. The object of consideration within the framework of this article is the deepfake technology. Based on this, as a subject, the authors define deepfake as a phenomenon of modern political communication. Accordingly, the purpose of the study is to describe and predict the impact of deepfake technology on political communication at the global and national levels. The paper presents the definition of deepfake, assesses its characteristics depending on the methods and purposes of its distribution, and analyzes the prospects for using this tool to influence political discourse in modern Russia. To study the subject field of the research, methods of systematizing theoretical data, classification, analysis of a set of factors and forecasting have been applied. The practical significance of the work is presented by the authors’ definition and typology of the phenomenon of deepfake and describes its significance as a factor of political communication on the example of a particular country. The results of the work will be useful for researchers studying the problems of digitalization of the media space and modern means of disinformation in politics, both at the local and global levels

2020 ◽  
Vol 14 (1) ◽  
pp. 73-87
Author(s):  
Nina Gorenc

The research behind this paper is set in the context of the 2016 US presidential election that has come to symbolize the post-truth era. We conducted a literature review on the 2016 election, with the aim to better understand the impact of computational propaganda on the election outcome and on the behaviour of voters. The paper opens with a definition of post-truth society and related concepts such as fake news and computational propaganda. It explores the changes of political communication in a digital environment and analyses the role of social media in the 2016 election. It probes into phenomena such as the trivialization of politics and the loss of credibility of political actors, which are both common in post-truth societies. The reviewed literature seems to indicate that social media have become strong actors on the political stage, but so far not the predominant source of political information and influence on the behaviour of voters. The paper makes two important contributions. Firstly, drawing on the concept of post-truth society, it analyses the role of computational propaganda in the 2016 presidential election, and secondly, it attempts to explain the paradox of general political apathy on one hand, and increased political activism on the other. These are some of the challenges we are now facing, and in order to be able to cope with them it is important to acknowledge and understand them.


2020 ◽  
Vol 20 (2) ◽  
pp. 134-148
Author(s):  
Vitaliy Ya. Pelykh

Rapid development and introduction of digital technologies has a significant impact on all areas of the economy. Everywhere causing a revision of existing paradigms, ways of interacting systems and aspects of business models. The author’s analysis of scientific publications shows that the recent financial crises are based on high risks of the traditional banking model, which are transferred to depositors and taxpayers. These processes have served as a driver for changes in the financial sector, changing existing concepts and paradigms towards the implementation of new digital approaches. The author, based on the analysis of the impact of technology on financial services, proposed the concept of Finance 4.0 implies a deep integration of digital technologies in the financial sector, which will lead to an increase in the quality and availability of services, as well as the formation of new rules that ensure healthy competition between market participants. As a result, the need for changes in both the economy as a whole and its branches is determined. This creates a need to develop current digital business models and methods for developing digital financial services. The purpose of the work is to offer a reasonable definition of Finance 4.0, as well as to identify the current requirements necessary for the implementation of the developed solutions within the financial environment. Which requires solving a number of research problems: 1. No definition of Finance 4.0. 2. Aspects of Finance 4.0 Are not defined. 3. It is Necessary to define the role of business models in the field of financial technologies. The relevance of the research is due to the fact that existing approaches to designing business models of financial services do not take into account the specifics of the idea of Finance 4.0 and the primacy of trust, which sometimes leads to the implementation of unprofitable solutions in the financial sector.


2021 ◽  
Vol 96 ◽  
pp. 04008
Author(s):  
Minhe Xu

With the rapid development of blockchain technology, more and more attention has shifted from the theoretical research of blockchain technology to the application of specific business of the company. However, there are few literatures on the quantitative research on the impact of blockchain technology on the company's market value after it is applied to the company's actual business. In this paper, 73 listed companies published blockchain application announcements from 2016 to 2019 are selected as the research objects, and the short-term event analysis method is used to quantitatively analyze the impact of the application about blockchain technology on the market performance of listed companies. The results show that: after the announcement of blockchain application in their own business, listed companies have a more significant abnormal income, which shows that the capital market has a significant positive response to the application of blockchain. Finally, this paper puts forward the theoretical and practical significance, limitations and future research.


2014 ◽  
Vol 10 (1-2 (12)) ◽  
pp. 88-95
Author(s):  
Ruzanna Arustamyan

The article is devoted to the description of gender peculiarities in political discourse. The differences of male and female speeches aim to determine the degree of effectiveness of the impact of gendered approaches in political communication on male and female audiences. We may observe obvious differences between male and female speeches. It is conditioned by biological differences and social roles and stereotypes fixed in the society. Sometimes female politicians tend to imitate male speech behavior in order to defend their positions and the right to participate in the political life of their country.


Author(s):  
А. В. Артьомова

Formulation of the problem. Taking into account the tendencies of globalization of financial markets and economic relations as a whole, as well as the causes and consequences of the global financial crisis, the study of balance of payments balances become more and more relevant. The purpose of the research is to justify the theoretical basis of the formation of the balance of payments; studying the concepts and models of regulation of the balance of payments of the state; definition of structural elements and clarification of the macroeconomic value of the balance of payments; substantiation of directions of balancing the balance of international settlements; studying the impact of macroeconomic policy on the country's balance of payments; the formation of a strategy for reducing the deficit of the balance of payments. The object of research is the model of regulation of the balance of payments of the state. The methodological basis of the study was the methods and principles of the scientific knowledge of general and special methods and techniques used in the regulation and definition of the structural elements of the balance of payments. The hypothesis of the research is the assumption that for Germany's prosperity, analyzing the structure of GDP by industries over the past ten years, in the future it is necessary to focus on the development of those industries in which employment slightly decreased over the analyzed period. The statement of basic materials. The article deals with the origin of the concept of "balance of payments" in its modern sense. We studied countries that were forced to publish the balance of payments due to the emergence of inflationary processes. The trade balance of Germany in the conditions of crisis and post-crisis development of the world economy is investigated. The originality and practical significance of the research. It should be noted that in the scientific world there is a discussion on determining the main factors and the nature of their impact on the balance of payments of the country, as well as the causes of deficits in the balance of payments. Conclusions of the research . In this paper, approaches to a comprehensive assessment of the equilibrium of the balance of payments of the states are proposed on the basis of comparative analysis of the three groups of indicators. According to the results of the approbation of this approach, the balance of payment balances of the world's largest economies was assessed.


2020 ◽  
Vol 11 (3) ◽  
pp. 683-692
Author(s):  
Giovanni SILENO

This short paper aims to unpack some of the assumptions underlying the “Policy and Investment Recommendation for Trustworthy AI” provided by the High-Level Expert Group on Artificial Intelligence (AI) appointed by the European Commission. It elaborates in particular on three aspects: on the technical-legal dimensions of trustworthy AI; on what we mean by AI; and on the impact of AI. The consequent analysis results in the identification, amongst others, of three recurrent simplifications, respectively concerning the definition of AI (sub-symbolic systems instead of “intelligent” informational processing systems), the interface between AI and institutions (neatly separated instead of continuity) and a plausible technological evolution (expecting a plateau instead of a potentially near-disruptive innovation).


2022 ◽  
pp. 161-175
Author(s):  
Jessica Camargo Molano ◽  
Jacopo Cavalaglio Camargo Molano

In recent years, artficial intelligence, through the rapid development of machine learning and deep learning, has started to be used in different sectors, even in academic research. The objective of this study is a reflection on the possible errors that can occur when the analysis of human behavior and the development of academic research rely on artificial intelligence. To understand what errors artificial intelligence can make more easily, three cases have been analyzed: the use of the IMPACT system for the evaluation of school system in the District of Columbia Public Schools (DCPS) in Washington, the face detection system, and the “writing” of the first scientific text by artificial intelligence. In particular, this work takes into consideration the systematic errors due to the polarization of data with which the machine learning models are trained, the absence of feedback and the problem of minorities who cannot be represented through the use of big data.


2020 ◽  
Vol 10 (4) ◽  
pp. 70-75
Author(s):  
TOMAS MOLODTSOV ◽  

The article is devoted to the definition of artificial intelligence and its impact on human rights in the context of lawmaking activity. Purpose of the article: this paper aims to investigate the main approaches to understanding artificial intelligence and the consequences of its integration into the legislative process, as well as to assess the impact of artificial intelligence on human rights. The purpose of the article is also to identify the risks of such influence and ways to level them. Methodology and methods: this article uses general scientific methods of analysis, especially empirical and dialectical, which allow to consider raised issues comprehensively. The author also uses methods of analysis and synthesis, induction and deduction. Conclusions: as the result of this research, the author comes to the conclusion that artificial intelligence, understood as both an exclusively automated tool and a pure consciousness, can significantly optimize the current lawmaking system. However, its impact on human rights in this context may be negative, limiting the freedom of choice, privacy and secrecy of correspondence. To protect human rights, the author recommends using automation tools only as additional measure, but not as substitute. The conclusion raises the question of what consequences can occur for people if artificial intelligence, integrated into law-making activities, can become aware of itself. Scope of the results: this work can be interested to both lawmakers and society as a whole, as it raises basic issues of human rights protection in the context of global digitalization.


Ekonomika APK ◽  
2021 ◽  
Vol 317 (3) ◽  
pp. 81-88
Author(s):  
Oleksandr Nechyporenko ◽  
Yurii Nosenko ◽  
Lesia Sinelnyk

The purpose of the article is to analyze the existing methodological approaches to assessing the activities of corporate cluster structures of various types and to select criteria for assessing the activities of interregional research centers of the NAAS, as cluster formations. Research methods. General scientific methods of empirical knowledge were applied: monographic and comparison, with the help of which an understanding of various methods of assessing clustering processes and the degree of implementation of integration initiatives was achieved, individual levels of cluster development were discovered and compared, changes in theoretical approaches to assessing their activities were revealed, trends in the development of scientific thoughts about this; also used cognitive comparison and description operations; according to the method of analysis, the optimal methods for assessing the effectiveness of cluster scientific unions have been identified; the synthesis method provided an opportunity to integrate approaches and propose a methodology for determining the level of efficiency of a scientific and innovative association; using a systematic approach, the influence of internal and external factors on the performance of cluster entities and their individual participants in a competitive environment was studied; abstraction made it possible to move away from a number of stereotypes regarding the definition of acceptable criteria for assessing the results of cluster activities and to highlight their essential characteristics, which is the basis of the model for the indicative assessment of the integration of scientific and innovative associations. Research results. A number of different theoretical approaches to determining the effectiveness of the activity of cluster structures are disclosed. It has been established that, in particular, their activities are assessed depending on the object of research or on the potential benefits of integration, while taking into account macro- and microeconomic indicators that characterize the impact of the cluster on society. The analysis and synthesis of currently known individual methods provided an opportunity to propose criteria for assessing the effectiveness of the functioning of “interregional research centers of the NAAS, maximally reflect the degree of implementation of those aspects of integration that ensure the economic efficiency of interaction of all subjects of cluster education and at the same time open up prospects for further research to determine the fair score and weighting factors for each of the proposed indicators. Scientific novelty. A system of complex indicative indicators is proposed for assessing the activities of a scientific and innovative cluster, which reflect the essential characteristics of the implementation of integration initiatives in the agricultural sector. Practical significance. The developed proposals for determining the effectiveness of the functioning of the scientific and innovative cluster can be used to assess the results of the activities of the interregional scientific centers of the NAAS. Refs.: 23.


2014 ◽  
Vol 1070-1072 ◽  
pp. 2033-2036
Author(s):  
Ya Qin Fan ◽  
Jing Ya Wang ◽  
Shu Ting Liu

The paper studies the basic characteristics and the definition of the wireless sensor networks, the time synchronization of wireless sensor network and the algorithm of time synchronization in wireless sensor networks. This paper studies the RBS algorithm and its improved algorithm. The research results have practical significance to the rapid development of network and the future network.


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