On Experience of Social Networks Exploration for Comparative Analysis of Narratives of Foreign Members of Armed Groups

2018 ◽  
Vol 8 (2) ◽  
pp. 17-31
Author(s):  
Yuriy Kostyuchenko ◽  
Maxim Yuschenko ◽  
Igor Artemenko
Keyword(s):  
Social Networks ◽  
Comparative Analysis ◽  
Information Dissemination ◽  
Stochastic Methods ◽  
Islamic State ◽  
Armed Groups ◽  
Traditional Media ◽  
Analysis Of Narratives

This article contains a comparison of narratives of foreign members of armed groups of The Islamic State of Iraq; the Levant; the Lugansk and Donetsk People's Republics in Syria and Ukraine. This data was collected in 2015-2016 using social networks and telecommunications which are presented in the article. The probabilistic and stochastic methods of analysis and classification of data from social networks were used for the identification of active members of illegal armed groups, and for analysis its number, composition and dynamics in active conflict areas. Some structural, figurative and lexical features of 83 stories are discussed. Key similarities, anomalies and differences are determined. Ways of information dissemination using social networks and traditional media are described. Role of narratives is shown. Conclusions are proposed.

On Experience of Social Networks Exploration for Comparative Analysis of Narratives of Foreign Members of Armed Groups

2020 ◽  
pp. 1656-1671
Author(s):  
Yuriy V. Kostyuchenko ◽  
Maxim Yuschenko ◽  
Igor Artemenko
Keyword(s):  
Social Networks ◽  
Comparative Analysis ◽  
Information Dissemination ◽  
Stochastic Methods ◽  
Islamic State ◽  
Armed Groups ◽  
Traditional Media ◽  
Analysis Of Narratives

This article contains a comparison of narratives of foreign members of armed groups of The Islamic State of Iraq; the Levant; the Lugansk and Donetsk People's Republics in Syria and Ukraine. This data was collected in 2015-2016 using social networks and telecommunications which are presented in the article. The probabilistic and stochastic methods of analysis and classification of data from social networks were used for the identification of active members of illegal armed groups, and for analysis its number, composition and dynamics in active conflict areas. Some structural, figurative and lexical features of 83 stories are discussed. Key similarities, anomalies and differences are determined. Ways of information dissemination using social networks and traditional media are described. Role of narratives is shown. Conclusions are proposed.

Big Data Analysis for Terroristic Behavior Identification and Study Using Social Networks

2019 ◽  
pp. 197-235
Author(s):  
Yuriy V. Kostyuchenko ◽  
Victor Pushkar ◽  
Olga Malysheva ◽  
Maxim Yuschenko
Keyword(s):  
Social Networks ◽  
Big Data ◽  
Social Network ◽  
Data Analysis ◽  
Big Data Analysis ◽  
Stochastic Methods ◽  
Armed Groups ◽  
Conflict Zones ◽  
Analysis Of Dynamics

This chapter aimed to consider of approaches to big data (social network content) utilization for understanding social behavior in the conflict zones, and analysis of dynamics of illegal armed groups. The analysis directed to identify of structure of illegal armed groups, and detection of underage militants. The probabilistic and stochastic methods of analysis and classification of number, composition, and dynamics of illegal armed groups in active conflict areas are proposed. Data of armed conflict in Donbas (Eastern Ukraine) in the period 2014-2015 is used for analysis. The numerical distribution of age, gender composition, origin, social status, and nationality of militants among illegal armed groups has been calculated. Conclusions on the applicability of described method in criminological practice, as well as about the possibilities of interpretation of obtaining results in the context of study of terrorism are proposed.

The model of information dissemination on social networks under epidemic-related panic

2021 ◽  
Author(s):  
Fuzhong Nian ◽  
Xin Guo ◽  
JinZhou Li
Keyword(s):  
Social Networks ◽  
Individual Differences ◽  
Infection Rate ◽  
Information Dissemination ◽  
Self Regulation ◽  
Cumulative Effect ◽  
Herd Effect ◽  
Collective Wisdom ◽  
Leading Role

Inspired by infectious disease dynamics and modern psychology, this paper aims at constructing a multi-dimensional function to get the model of information dissemination on social networks under epidemic-related panic base on the characteristics of individual differences and global characteristics, like emotional cumulative effect, herd effect, time-sensitive decline effect, cognitive level, intimacy, personal influence, etc. The results show that the psychological effect has a significant effect on the increase of the spread of panic news; When netizens are in an emotional atmosphere, their emotional self-regulation ability is limited; when the infection rate is relatively low, the characteristics of individual differences play a leading role in affecting the spreading process. When the infection rate is high enough, the herd effect and emotional cumulative effect play a major role in promoting information dissemination; In a society with a higher rate of emotional contact, it is easier to form a kind of collective wisdom, which can help the collective quickly identify rumors. Moreover, in this kind of society, the role of opinion leaders is limited, and timely refutation of rumors can significantly reduce the spread of panic news.

Methods and Tools of Big Data Analysis for Terroristic Behavior Study and Threat Identification

2017 ◽  
pp. 52-66
Author(s):  
Yuriy V. Kostyuchenko ◽  
Maxim Yuschenko
Keyword(s):  
Big Data ◽  
Social Network ◽  
Data Analysis ◽  
Big Data Analysis ◽  
Stochastic Methods ◽  
Armed Groups ◽  
Conflict Zones ◽  
Behavior Study ◽  
Analysis Of Dynamics

Paper aimed to consider of approaches to big data (social network content) utilization for understanding of social behavior in the conflict zones, and analysis of dynamics of illegal armed groups. Analysis directed to identify of underage militants. The probabilistic and stochastic methods of analysis and classification of number, composition and dynamics of illegal armed groups in active conflict areas are proposed. Data of armed conflict – antiterrorist operation in Donbas (Eastern Ukraine in the period 2014-2015) is used for analysis. The numerical distribution of age, gender composition, origin, social status and nationality of child militants among illegal armed groups has been calculated. Conclusions on the applicability of described method in criminological practice, as well as about the possibilities of interpretation of obtaining results in the context of study of terrorism are proposed.

scholarly journals Specific features of using social media in presidential campaigns in 2016 and 2020 in the USA: a comparative analysis

2021 ◽  
Vol 5 (3) ◽  
pp. 172-180
Author(s):  
D. Klyuchevskiy
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Comparative Analysis ◽  
Presidential Election ◽  
Political Process ◽  
The United States ◽  
Political Marketing ◽  
Theoretical Contribution ◽  
The Us

The purpose of this article is to analyze the experience of using social networks as a political marketing tool in the US presidential elections. This article partially touches upon the global topic of marketization and digitalization of both the political process in general and at the level of the US presidential election. The paper highlights the changing role of social media as a policy tool, which today has become not only a tool for distributing content, but also one of the tools for analyzing data from the electorate. The author explores the possibilities of social networks, their strengths and weaknesses and development prospects in the field of political marketing. The work touches upon the role of social networks in the formation of «Electronic Democracy», their impact on the candidate's image and the relationship with the personalization of politics in the United States. The main method in the article is comparative analysis. The result was the definition of the role, key features of the mentioned social networks in the field of modern politics. A certain theoretical contribution is seen in the argumentation of the following observations: the speed of interaction between the candidate and the voter through social networks has increased, in addition, the area of image-making has been partially «digitalized». It was revealed that technologies of information influence on American voters, which positively influenced the results of the 2016 presidential election for the Republican candidate, lowered D. Trump's ratings during the 2020 elections.

scholarly journals SOCIAL MEDIA AND KOSOVO’S POLITICAL ACTORS

2021 ◽  
Vol 32 (1) ◽  
pp. 193-196
Author(s):  
Ilire Zajmi
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Mass Communication ◽  
Information Dissemination ◽  
Prime Minister ◽  
Political Competition ◽  
Modern Society ◽  
Traditional Media ◽  
Political Actors ◽  
The Social

Social media are changing the nature of mass communication, demediating traditional media. They are being used as powerful platforms for the distribution and dissemination of information, activities, promotion of institutions, certain groups of interest of individuals, but also political actors for different purposes.Placing and disseminating information through the opportunities offered by social media enables the mobilization of a wider audience in new ways and ways. Politicians are exploiting these opportunities provided by social networks, without having to put information through journalists or traditional media. There are two theories in the literature regarding the use of social networks, optimistic and pessimistic theory. According to optimistic theory, social networks provide opportunities to compete for power. Theorists of this theory of using social media think that in the digital age, we are witnessing the transformation of information and the audience that uses them. According to them, the global success of social media has made it possible for everyone to connect directly to his audience through the platforms offered. With the use of these platforms, politicians gain attention and at the same time build a symmetrical or asymmetric relationship with their followers.Pessimistic theory, however, blames the social media for the use of false promise, and a pseudo-modernization of modern society. Studies believe that involvement in social networks and political actors at the same time implies a greater engagement of the audience that absorbs the information disclosed and affects the democratization of political competition. This paper aims to analyze the use of social networks as a means of information dissemination by Kosovar political actors and the content of the information being disclosed.The paper analyzes the posts of three key Kosovar politicians, Prime Minister Ramush Haradinaj, President Hashim Thaçi and Kosovo Assembly Speaker Kadri Veseli in their profiles on Facebook and Twitter social networks during a one-month monitoring period during May 2019

Methods and Tools of Big Data Analysis for Terroristic Behavior Study and Threat Identification

2019 ◽  
pp. 525-537
Author(s):  
Yuriy V. Kostyuchenko ◽  
Maxim Yuschenko
Keyword(s):  
Big Data ◽  
Social Network ◽  
Data Analysis ◽  
Big Data Analysis ◽  
Stochastic Methods ◽  
Armed Groups ◽  
Conflict Zones ◽  
Behavior Study ◽  
Analysis Of Dynamics

Paper aimed to consider of approaches to big data (social network content) utilization for understanding of social behavior in the conflict zones, and analysis of dynamics of illegal armed groups. Analysis directed to identify of underage militants. The probabilistic and stochastic methods of analysis and classification of number, composition and dynamics of illegal armed groups in active conflict areas are proposed. Data of armed conflict – antiterrorist operation in Donbas (Eastern Ukraine in the period 2014-2015) is used for analysis. The numerical distribution of age, gender composition, origin, social status and nationality of child militants among illegal armed groups has been calculated. Conclusions on the applicability of described method in criminological practice, as well as about the possibilities of interpretation of obtaining results in the context of study of terrorism are proposed.

scholarly journals Comparative Analysis of the Level of Development of Entrepreneurial Competencies among Students in Russia and the Czech Republic

2021 ◽  
Vol 90 ◽  
pp. 02007
Author(s):  
Anastasiya Pesha ◽  
Marina Shavrovskaya ◽  
Zdeněk Caha
Keyword(s):  
Czech Republic ◽  
Comparative Analysis ◽  
Russian Federation ◽  
The Czech Republic ◽  
Advanced Level ◽  
The Russian Federation ◽  
Entrepreneurial Competencies ◽  
Development Of Students

The role of universities in the development of entrepreneurship is increasing. Within this context, universities are introducing specialized programs and disciplines aimed at developing students’ innovative and entrepreneurial competencies. This article presents the results of a comparative analysis of the level of development of students’ entrepreneurial competencies in Russia and the Czech Republic. To implement the key task, the authors analysed approaches to the classification of entrepreneurial competencies. On the basis of relevance and objectivity, the authors selected the EntreComp classification from 2016, which subsequently formed the basis for the developed methodological tools for the empirical research. The method was tested in three universities in the Russian Federation and one in the Czech Republic. The total number of participants was 436. The results of the analysis of the entrepreneurial competencies revealed significant statistical differences between the respondents from the two countries for 10 out of 15 evaluated competencies. At the same time, 68% of respondents in the Russian Federation and 64% in the Czech Republic were found to have an advanced level of development of one entrepreneurial competence. This fact is indicative of the similarity of the vast majority of the final results for the respondents from both countries and confirms the hypothesis that most students participating in the test did not have a lower than average level of competence development. The results of the study may be of interest to scientists and practitioners who study the assessment and development of entrepreneurial competencies in students and specialists.

scholarly journals NEW TECHNOLOGIES AND THE CURRENT COMMUNICATIONS MODEL IN THE 2018 BRAZILIAN ELECTIONS

2019 ◽  
Vol 24 (3) ◽  
pp. 1056
Author(s):  
Edilene Lôbo ◽  
José Luiz Bolzan de Morais
Keyword(s):  
Social Networks ◽  
Political Parties ◽  
New Technologies ◽  
Digital Age ◽  
Fake News ◽  
Human Right ◽  
Traditional Media ◽  
Free Thought ◽  
The Impact

This article considers the impact of new technologies in the 2018 Brazilian elections, and investigates the possibilities of changes due to the prominent use of social networks to directly connect citizens and candidates, without the customary intervention of political parties and traditional media. It also questions the role of fake news in the electoral process, and the means to fight it, without undermining free thought, as an essential human right for the practice of citizenship in the new digital age.

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