scholarly journals COMPREHENSIVE ANALYSIS OF LINGUISTIC COMMUNICATION PATTERNS OF TOP RUSSIAN JOURNALISTS IN THE OFFICIAL ACCOUNTS OF SOCIAL PLATFORMS VKONTAKTE, FACEBOOK, INSTAGRAM, TWITTER

2021 ◽  
pp. 49-62
Author(s):  
Вероника Викторовна Катермина ◽  
Анна Александровна Гнедаш ◽  
Мария Витальевна Николаева
Keyword(s):  
Social Networks ◽  
Social Action ◽  
Presidential Address ◽  
Comprehensive Analysis ◽  
Communication Patterns ◽  
Data Sets ◽  
Linguistic Communication ◽  
The Social ◽  
Linguistic Patterns ◽  
The Way

В статье приводятся результаты комплексного анализа лингвистических паттернов коммуникации топовых российских журналистов в официальных аккаунтах социальных платформ ВКонтакте, Facebook, Instagram, Twitter. Целью данной статьи является изучение лингвистических паттернов, продуцируемых топовыми журналистами в своих онлайн-аккаунтах, способных задавать векторы восприятия политического контента, создаваемого главными лидерами государств, и приводящих к трансформации дискурсивных полей как в онлайн-, так и в офлайн-пространстве. Среднестатистический россиянин тратит почти половину дня на онлайн-взаимодействие, почти 50 % этого времени приходится на популярные социальные медиа, в том числе интернет-серфинг в среде официальных аккаунтов топовых журналистов. Потребление данных паттернов рядовыми пользователями / читателями, находящимися под «силовым» влиянием дискурсивного поля, становится определяющим фактором в процессе выработки и принятия индивидуальных / коллективных решений, реализация которых формирует то или иное социальное действие как в онлайн-, так и в офлайн-пространстве. Согласно данным мониторинга социальных медиа и СМИ компанией «Медиалогия», нами были выбраны аккаунты Алексея Венедиктова, Владимира Соловьева, Владимира Познера, Маргариты Симоньян и Ксении Собчак в ВКонтакте, Facebook, Instagram, Twitter. Эмпирической базой (дата-сеты) стали все посты, комментарии и ветки дискуссий, отражающие реакцию данных журналистов и общественности на Послание Президента РФ В. В. Путина Федеральному Собранию РФ от 15 января 2020 г. Дата-сеты были получены машинным методом сплошной выборки и подвергнуты комплексному анализу, включившему сетевой, лингводискурсивный, фолксономический анализ. В результате проведенного исследования были сделаны выводы о том, какими лингводискурсивными особенностями характеризуются посты топовых журналистов в популярных социальных сетях; как характеризуются лингвистические паттерны, продуцируемые топовыми журналистами в онлайн-пространстве; как различается контент, создаваемый журналистами в разных социальных сетях; каковы особенности этих различий в зависимости от специфики самих социальных платформ; как влияет политический контекст на лингвистические паттерны, продуцируемые топовыми журналистами в онлайн-пространстве. The article presents the results of a comprehensive analysis of the linguistic communication patterns of top Russian journalists in the official accounts of the social platforms VKontakte, Facebook, Instagram, Twitter. The purpose of this article is to study the linguistic patterns which are produced by the top journalists in their online accounts and which can set vectors of interpretation of political content created by state leaders and cause the transformation of discourse fields both in online and offline spaces. The average Russian spends almost half a day on online interaction, almost 50% of this time is spent on popular social media, including surfing the top journalists’ official accounts. The linguistic patterns produced by journalists in their online accounts are capable of transforming discursive fields both online and offline. The consumption of these patterns by ordinary users / readers who are under the influence of the discourse field becomes a determining factor in the process of making individual / collective decisions, the implementation of which forms a particular social action both in online and offline spaces. According to “Mediologia” monitoring data of social and mass media, the authors selected the accounts of Aleksey Venediktov, Vladimir Solovyev, Vladimir Pozner, Margarita Simonyan, and Ksenia Sobchak in VKontakte, Facebook, Instagram, Twitter. The data sets of the study are all the posts, comments, and threads of discussions that reflect the reaction of the above-mentioned journalists and the public to the Presidential Address to the Federal Assembly on 15 January 2020. The data sets were gained through a continuous sampling method and underwent a comprehensive analysis including network, linguo-discursive, folksonomic analyses. As a result of the study, the authors have drawn the conclusions on what linguistic and discursive features characterize the posts of the top journalists in popular social networks; the way the linguistic patterns produced by the top journalists in online space are characterized; the way the content created by the journalists in various social networks differs; what is the specificity of these differences depending on the specificity of the social platforms themselves; the way a political context affects the linguistic patterns produced by the top journalists in online space.

Socio-Technical Attack Approximation Based on Structural Virality of Information in Social Networks

2021 ◽  
Vol 15 (1) ◽  
pp. 153-172
Author(s):  
Preetish Ranjan ◽  
Abhishek Vaish
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Latent Structure ◽  
The Social ◽  
High Skill ◽  
The Way

A free and easily accessible platform for sharing information over social media has its negatives. It is being misused to intimidate others by exploiting the trust factor inherent within it. This paper is on the persistent pursuit of offering an exquisite solution to address this possible misuse of social media also called STAs and their subsequent impacts on society. These attacks are very sensitive to society and often organized groups with a high skill set are involved to disguise the security agencies. In this work, a model has been proposed to approximate socio-technical attack subject to the structural virality of information in the social network. The work is unique in the sense that previous works are mostly based on statistical values of the network but the proposed work considers the latent structure of the network which is not being reflected from their statistical values. This also paves the way for future researchers to implant other hidden features of nodes and messages circulating within the network which could be helpful for the detection and mitigation of STAs.

scholarly journals Inferring Ties in Social IoT Using Location-Based Networks and Identification of Hidden Suspicious Ties

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Nauman Ali Khan ◽  
Sihai Zhang ◽  
Wuyang Zhou ◽  
Ahmad Almogren ◽  
Ikram Ud Din ◽  
...  
Keyword(s):  
Social Networks ◽  
Internet Of Things ◽  
Social Ties ◽  
Social Activity ◽  
Geographical Location ◽  
Real Data ◽  
Time Frame ◽  
Data Sets ◽  
The Social ◽  
Time Frames

Stochastic Internet of Things (IoT)-based communication behavior of the progressing world is tremendously impacting social networks. The growth of social networks helps to quantify the effect on the Social Internet of Things (SIoT). Multiple existences of two persons at several geographical locations in different time frames hint to predict the social connection. We investigate the extent to which social ties between people can be inferred by critically reviewing the social networks. Our study used Chinese telecommunication-based anonymized caller data records (CDRs) and two openly available location-based social network data sets, Brightkite and Gowalla. Our research identified social ties based on mobile communication data and further exploits communication reasons based on geographical location. This paper presents an inference framework that predicts the missing ties as suspicious social connections using pipe and filter architecture-based inference framework. It highlights the secret relationship of users, which does not exist in real data. The proposed framework consists of two major parts. Firstly, users’ cooccurrence based on the mutual location in a specific time frame is computed and inferred as social ties. Results are investigated based upon the cooccurrence count, the gap time threshold values, and mutual friend count values. Secondly, the detail about direct connections is collected and cross-related to the inferred results using Precision and Recall evaluation measures. In the later part of the research, we examine the false-positive results methodically by studying the human cooccurrence patterns to identify hidden relationships using a social activity. The outcomes indicate that the proposed approach achieves comprehensive results that further support the theory of suspicious ties.

The importance of Facebook as an online social networking tool for companies

2014 ◽  
Vol 22 (4) ◽  
pp. 295-320 ◽  
Author(s):  
Pedro A. Pereira Correia ◽  
Irene García Medina ◽  
Zahaira Fabiola González Romo ◽  
Ruth S. Contreras-Espinosa
Keyword(s):  
Social Networks ◽  
Theoretical Analysis ◽  
Competitive Advantage ◽  
Target Audience ◽  
Mobile Technologies ◽  
Communication Media ◽  
Content Type ◽  
The Social ◽  
New Consumer ◽  
The Way

Purpose – This paper aims to understand the contribution made by Facebook as a marketing tool for companies, and through empirical observation (interviews and questionnaires) and theoretical analysis (studies and academic literature on the subject), to analyse the reactions of individuals in social media (particularly in Facebook) and its confluence with the organizations. The overall aim is subdivided into three objectives covering more precisely the two poles of marketing communication (the consumers and the businesses), within the context of Facebook: to learn about the users’ vision on Facebook and their point of view on being a part of it; to understand the strategic vision of Facebook from those responsible for marketing and communication in companies; and to analyse the role of Facebook in marketing activities and interactive communication (users and companies). Design/methodology/approach – The first part of this study is a theoretical study of the area and existing published research. The second part is a qualitative study. In this sense, the theoretical analysis in the field of social networks supports the propositions discussed in the empirical analysis, which is based on a random sample of individuals and representative companies. The analysed universe consists of a randomly unrepresentative group of consumers living in Portugal, particularly in the cities of Funchal (Madeira) and Lisbon, and company representatives established in Funchal (Madeira), to understand if the theoretical arguments are also verified in these regions regardless of their particular characteristics, especially the geographical and demographic. Findings – Today the focus continues to be very connected to sales and promotions and to traditional communication channels when it should move to create interactions with meaning for the audience through content before focusing on sales. Organizations should consider the way they communicate with their target audience and consider social networks and mobile technologies as a new way of expanding the business, adapting to this new consumer not contemplated by the traditional marketing and communication media. Research limitations/implications – Furthermore, the existing literature quickly becomes obsolete without addressing the issue in depth, sometimes referring qualitative studies based on demographic and geographic variables and traditional models. Moreover, most of the authors are Anglo-Saxon and discuss realities away from the one studied here. Geographical location and time are also other important limitations, as in Portugal, the phenomenon is recent and both individual users and company representatives (who constituted the study sample) have little practical experience in the use of online technologies and social networks; probably the main setback is the limited period of the study, concentrating the analyses on the current interviewee experience instead of an evolutionary people's behaviour analyses concerning the use of social networks. Although the evolution of information technology is a catalyst for a more intense online social experience, it is important to understand how to live the virtual experience and how the communication between individuals and companies evolves (how to adapt to this new consumer audience), face the current short-term models based on offline actions, reactive strategic actions, misperception of users and lack of information on social network consumers’ life. Practical implications – Organizations should consider the way they communicate with their target audience and consider social networks and mobile technologies as a new way of expanding the business, adapting to this new consumer not contemplated by the traditional marketing and communication media. The study presents a qualitative analysis of the behaviour, the reactions and the attitudes of individuals towards organizations, with the aim of understanding which are the social factors that contribute to sustainable competitive advantage to organizations and support strategies and future actions. Social implications – The social aspects are a part of the experience in the Facebook community and also of the shopping experience. So it is important to monitor these behaviours in Facebook or other networks to perceive users of social networks, and consequently define marketing and communications actions to transform fans into customers. Relevant factors come associated with tacit knowledge of the organization, particularly those related with learning and social interaction of the organization and organization knowledge about virtual communities. To a higher coexistence of these factors, the more difficult the replication is, and the higher the strengthening of the hypothesis of sustainability of competitive advantage. Originality/value – Organizational survival increasingly depends on the socialization, sharing interests and activities with the audience linked to the incorporation of digital technologies in their activities, especially those related to social networks. Technology emerges as a support for the satisfaction of social connection, transforming communication between people and companies, making it much more dynamic and transparent. As we have seen, there are many positive factors associated with the participation in the social networks. Prominent among these are the interactivity, the detection of customer needs, the adjustment of supply, transmission of content without geographical boundaries and the ease of implementation of viral marketing campaigns.

scholarly journals A Greve e seus sentidos político e jurídico / Strike and its political and Legal senses

2019 ◽  
Vol 47 (1) ◽  
pp. 252-268
Author(s):  
Felipe Cesar Rebêlo
Keyword(s):  
Social Action ◽  
Class Struggle ◽  
Institutional Structure ◽  
The State ◽  
Social Rights ◽  
Political Aspect ◽  
The Social ◽  
The Law ◽  
The Way

A greve é reconhecida como um instituto em constante evolução, representativo dos direitos sociais. Passa por uma evolução constante, de acordo com as demandas que surgem historicamente. Nesse ponto, se averigua como o instituto jurídico é construído, bem como a forma que sua feição política pode desenvolver. A compreensão da doutrina e da jurisprudência se faz necessária, em consonância as determinações legais, bem como ao espírito social que move multidões, em expressão de uma ação social que necessita ser revisitada considerando cânones mais profundos, e do próprio direito e da constituição do Estado, como forma de legitimação da estrutura institucional em que a sociedade pode se formatar. A forma de concretização das demandas sociais, à luz de uma preocupação que se compactue com a luta de classes no ambiente capitalista, em que o direito é analisado como instrumentalização dessa constante social, merece ponderação na análise contemplada.   Abstract: Strike is recognized as a constantly evolving institute, representative of social rights. It goes through a constant evolution, according to the demands that arise historically. At this point, it examines how the legal institute is constructed, as well as the form that its political aspect can develop. Understanding the doctrine and jurisprudence is necessary, in accordance with legal determinations, as well as the social spirit that moves crowds, in expression of a social action that needs to be revisited considering deeper canons, and of the law itself and the constitution of the State, as a way of legitimizing institutional structure in which society can be shaped. The way of concretizing social demands, in the light of a concern that is compacted with the class struggle in the capitalist environment, in which the law is analyzed as an instrumentalization of this social constant, deserves consideration in the analysis.

scholarly journals An efficient method to detect communities in social networks

2021 ◽  
Author(s):  
MEHJABIN KHATOON ◽  
W AISHA BANU
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Interactions ◽  
Community Detection ◽  
Average Degree ◽  
Data Sets ◽  
Time Data ◽  
Network Graph ◽  
The Social ◽  
Metric Functions

Abstract Social networks represent the social structure, which is composed of individuals having social interactions among them. The interactions between the units in a social network represent the relations of the various social contacts and aim at finding different individuals in that network, with similar interests. It is a challenging problem to detect the social interactions between individuals with comparable considerations and desires from a large social network, which can be termed as community detection. Detection of the communities from social networks has been done by other authors previously, and many community identification algorithms were also proposed, but those communities' identification has been achieved on the online available data sets. The proposed algorithm in this paper has been named as Average Degree Newman Girvan (ADNG) algorithm, which can easily identify the communities from the real-time data sets, collected from the social network websites. The approach presented here is based on first determining the average degree of the network graph and then identifying the communities using the Newman Girvan algorithm. The proposed algorithm has been compared with four community detection algorithms, i.e., Leading eigenvector (LEC) algorithm, Fastgreedy (FG) algorithm, Leiden algorithm and Kernighan-Lin (KL) algorithm based on a few metric functions. This algorithm helps to detect communities for different domains, like for any proposed government policy, online shopping products, newly launched products in a market, etc.

Social-Spatial Group Queries with Keywords

2022 ◽  
Vol 8 (1) ◽  
pp. 1-32
Author(s):  
Sajid Hasan Apon ◽  
Mohammed Eunus Ali ◽  
Bishwamittra Ghosh ◽  
Timos Sellis
Keyword(s):  
Social Networks ◽  
Social Groups ◽  
Real Life ◽  
Real Data ◽  
Data Sets ◽  
Interesting Insight ◽  
Points Of Interest ◽  
The Social ◽  
Textual Data ◽  
Aware Group

Social networks with location enabling technologies, also known as geo-social networks, allow users to share their location-specific activities and preferences through check-ins. A user in such a geo-social network can be attributed to an associated location (spatial), her preferences as keywords (textual), and the connectivity (social) with her friends. The fusion of social, spatial, and textual data of a large number of users in these networks provide an interesting insight for finding meaningful geo-social groups of users supporting many real-life applications, including activity planning and recommendation systems. In this article, we introduce a novel query, namely, Top- k Flexible Socio-Spatial Keyword-aware Group Query (SSKGQ), which finds the best k groups of varying sizes around different points of interest (POIs), where the groups are ranked based on the social and textual cohesiveness among members and spatial closeness with the corresponding POI and the number of members in the group. We develop an efficient approach to solve the SSKGQ problem based on our theoretical upper bounds on distance, social connectivity, and textual similarity. We prove that the SSKGQ problem is NP-Hard and provide an approximate solution based on our derived relaxed bounds, which run much faster than the exact approach by sacrificing the group quality slightly. Our extensive experiments on real data sets show the effectiveness of our approaches in different real-life settings.

Social Knowledge

2011 ◽  
pp. 236-248
Author(s):  
M. Chethan ◽  
Mohan Ramanathan
Keyword(s):  
Social Networks ◽  
Industrial Revolution ◽  
Science And Technology ◽  
Social Knowledge ◽  
Value System ◽  
The Social ◽  
Knowledge Value ◽  
The Way

Every now and then a technology appears that changes or speeds up the development of civilization in a new direction. It started with agriculture, spread through the Industrial Revolution and to the electronic age and now moved on to a state of technology that people would have laughed at a few decades ago. Social networks have changed the way people connect, redefining the knowledge value system that is being shared without borders or limits. The multitude of science and technology that go behind building the social networks spans across mathematics to engineering to software and ultimately to the realms of psychology and sociology once thought as distantly removed from any application of technology. In this write up, we explore the convergence of many ideas and innovations and the technology that is building these networks.

scholarly journals Dense and sparse vertex connectivity in networks

2020 ◽  
Vol 8 (3) ◽  
Author(s):  
Mehdi Djellabi ◽  
Bertrand Jouve ◽  
Frédéric Amblard
Keyword(s):  
Social Networks ◽  
Complex Networks ◽  
Community Detection ◽  
Real Data ◽  
Data Sets ◽  
Vertex Connectivity ◽  
Local Interactions ◽  
Internal Organization ◽  
The Way

Abstract The different approaches developed to analyse the structure of complex networks have generated a large number of studies. In the field of social networks at least, studies mainly address the detection and analysis of communities. In this article, we challenge these approaches and focus on nodes that have meaningful local interactions able to identify the internal organization of communities or the way communities are assembled. We propose an algorithm, ItRich, to identify this type of nodes, based on the decomposition of a graph into successive, less and less dense, layers. Our method is tested on synthetic and real data sets and meshes well with other methods such as community detection or $k$-core decomposition.

Intention to participate in online commercial experiments by social network’s users

2016 ◽  
Vol 39 (4) ◽  
pp. 378-398 ◽  
Author(s):  
Rebeca Cordero-Gutiérrez ◽  
Libia Santos-Requejo
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Point Of View ◽  
Data Sets ◽  
Content Type ◽  
Gender And Age ◽  
The Social ◽  
Intention To Participate ◽  
Relevant Variables ◽  
Marketing Tool

Purpose The purpose of this paper is to analyze the underlying differences in the intention to participate in online commercial experiments through the social network considering users’ gender and age. Design/methodology/approach The model of this paper uses two relevant variables, trust and attitude, to test the behavioral intention. There were 269 data sets from social network’s users. Factorial analysis and linear regression were used in the analysis of the data obtained to investigate the differences in gender and age in the intention to participate in online commercial experiments. Findings The results of this paper show that there exist differences among women and men, and among youthers and adults. Women and youthers are the most desirable groups to conduct commercial experiments through social networks. Research limitations/implications From the point of view of the academics, this paper increases the knowledge of social network’s possibilities as a marketing tool. Practical implications This study and its conclusions are relevant for entrepreneurs in any field who want to reach their customers through a horizontal social network because they can improve the online experiments’ profit. Entrepreneurs can know and understand their customers better, taking into account their wishes, tastes and interests through when participating in a commercial experiment. Originality/value This paper describes the possibilities that social networks like Facebook offer entrepreneurs to know the intention of users to participate in an online commercial experiment. Moreover, the differences in gender and age allow in adapting the contents of the online commercial experiments to get better results. In addition, this research contributes to the investigation in the possibilities of social networks as marketing tools.

scholarly journals Journalism, social networks and global occupation movements: a systemic crisis in the contemporary semiosphere

2014 ◽  
Vol 10 (1) ◽  
pp. 40-57
Author(s):  
Felipe Moura De Oliveira ◽  
Ronaldo Henn
Keyword(s):  
Social Networks ◽  
Social Construction ◽  
Social Construction Of Reality ◽  
Complex Processes ◽  
Constituent Assembly ◽  
The Social ◽  
Systemic Crisis ◽  
Points Of View ◽  
Systemic View ◽  
The Way

his article ponders the tension created in journalism by the emergence of social networks in the processes of the social construction of reality. The focuses are the events kindled by the Indignados movement in Spain in 2012, during the “25S” protests, which called for a new constituent assembly. Waiter Alberto Casillas stole the scene by facing police truculence, and that had a great repercussion in the networks, attracting the attention of international journalism. There are two points of view which, when compared, lead to a possible synthesis about this moment of crisis: 1) the way journalism presents the events; 2) the possibilities and implications offered by the networks to the more ample dynamics of journalism. C. S. Peirce’s concept of semiosis is the basis of the reflective effort, along with a systemic view inspired by the Semiotics of Culture – especially as in Yuri Lotman. It is postulated that in the contemporary semiosphere, in which complex processes of semiosis set off by events from the chaotic reality are unfolded, journalism has to review its practices, under pain of losing the legitimacy it has acquired throughout history as a mediator of a certain kind of knowledge.

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