The Fission of the Forbidden: The Popularity of Video Content in an Online Right-Wing Extremist Environment

2021 ◽  
Vol 5 (1) ◽  
pp. 51-67
Author(s):  
Lise Waldek
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Connectedness ◽  
Right Wing ◽  
Video Content ◽  
Content Dissemination ◽  
Video Sharing ◽  
High Engagement

Abstract Video platforms such as YouTube provide an environment where the blurred duality between content dissemination and creation facilitates the generation of social networks. Research into online violent extremist environments has often noted the prominence of video-sharing platforms as a means of distributing propaganda and cultivating social networks for purposes of recruitment. This paper draws from the study of emotion to examine three videos and associated comments that had high engagement, understood as the frequency of interactions, likes/upvotes and reposts in a given social network, in a right-wing extremist online milieu. This analysis highlights the important role emotions play in generating social connectedness and ultimately engagement and recruitment into online right-wing extremist milieus. Understanding the significance of emotions in online violent extremist video content can help to identify opportunities for moderation and/or the construction of alternative narratives.

Unraveling the Taste Fabric of Social Networks

2009 ◽  
pp. 1521-1546
Author(s):  
Hugo Liu ◽  
Pattie Maes ◽  
Glorianna Davenport
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Online Social Networks ◽  
Social Connectedness ◽  
Natural Language Text ◽  
Cross Domain ◽  
Semantic Mining ◽  
The Rich ◽  
Language Text

Popular online social networks such as Friendster and MySpace do more than simply reveal the superficial structure of social connectedness—the rich meanings bottled within social network profiles themselves imply deeper patterns of culture and taste. If these latent semantic fabrics of taste could be harvested formally, the resultant resource would afford completely novel ways for representing and reasoning about web users and people in general. This paper narrates the theory and technique of such a feat—the natural language text of 100,000 social network profiles were captured, mapped into a diverse ontology of music, books, films, foods, etc., and machine learning was applied to infer a semantic fabric of taste. Taste fabrics bring us closer to improvisational manipulations of meaning, and afford us at least three semantic functions—the creation of semantically flexible user representations, cross-domain taste-based recommendation, and the computation of taste-similarity between people— whose use cases are demonstrated within the context of three applications—the InterestMap, Ambient Semantics, and IdentityMirror. Finally, we evaluate the quality of the taste fabrics, and distill from this research reusable methodologies and techniques of consequence to the semantic mining and Semantic Web communities.

Social networks and perceptions of intergenerational difference among migrant youth in Australia

2016 ◽  
Vol 53 (1) ◽  
pp. 127-144
Author(s):  
Fethi Mansouri ◽  
Amelia Johns
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Connectedness ◽  
Network Formation ◽  
Theoretical Approaches ◽  
Migrant Youth ◽  
Youth Research ◽  
Complex Structural ◽  
Nuanced Understanding ◽  
Social And Cultural Factors

‘Intergenerational difference’ has become a lens through which to view issues of identity, social connectedness, belonging and agency in migrant youth research, highlighting that differences in the aspirations of migrant youth and their parents shape young people’s experiences. The article will present findings from a mixed methods study of social network participation among three migrant youth cohorts in two Australian cities to address a perceived ‘gap’ among migrant youth and parents’ aspirations for social network formation and participation. The paper will first examine current theoretical approaches to intergenerational challenges in migrant youth research. It will then introduce ‘intersectionality’ as a concept offering a more nuanced understanding of the challenges and hopes of migrant youth for whom social networks can be a gateway towards belonging and connectedness. This, however, requires a negotiation of complex structural, social and cultural factors.

Unraveling the Taste Fabric of Social Networks

2009 ◽  
pp. 18-43
Author(s):  
Hugo Liu
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Online Social Networks ◽  
Social Connectedness ◽  
Natural Language Text ◽  
Cross Domain ◽  
Semantic Mining ◽  
The Rich ◽  
Language Text

Popular online social networks such as Friendster and MySpace do more than simply reveal the superficial structure of social connectedness — the rich meanings bottled within social network profiles themselves imply deeper patterns of culture and taste. If these latent semantic fabrics of taste could be harvested formally, the resultant resource would afford completely novel ways for representing and reasoning about web users and people in general. This paper narrates the theory and technique of such a feat — the natural language text of 100,000 social network profiles were captured, mapped into a diverse ontology of music, books, films, foods, etc., and machine learning was applied to infer a semantic fabric of taste. Taste fabrics bring us closer to improvisational manipulations of meaning, and afford us at least three semantic functions — the creation of semantically flexible user representations, cross-domain taste-based recommendation, and the computation of taste-similarity between people — whose use cases are demonstrated within the context of three applications — the InterestMap, Ambient Semantics, and IdentityMirror. Finally, we evaluate the quality of the taste fabrics, and distill from this research reusable methodologies and techniques of consequence to the semantic mining and Semantic Web communities.

scholarly journals Fear of Missing Out, online social networking and mobile phone addiction: A latent profile approach

2017 ◽  
Vol 35 (1) ◽  
pp. 22-30 ◽  
Author(s):  
Héctor Fuster ◽  
Ander Chamarro ◽  
Ursula Oberst
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Mobile Phone ◽  
Online Social Networks ◽  
Online Survey ◽  
Latent Profile Analysis ◽  
Fear Of Missing Out ◽  
Mobile Phone Addiction ◽  
High Engagement ◽  
Latent Profile

Background and aims: Fear of missing out (FoMO) is described as a pervasive unpleasant sensation that others might be having rewarding experiences of which one is not part, as well as the desire to stay continually connected with what others are doing. It has shown to play an important mediating role in predicting negative outcomes of heavy use of these networks. The aim of the present study was to analyze the different profiles found among users. Methods: 5,280 Spanish speaking social media users from Latin America replied in an online survey to the Spanish version of the FoMO scale, to a short set of questionnaires on online social network use (frequency, intensity and type of access) and indicators of mobile phone addiction. Results: FoMO correlated with the number of different networks used and with all indicators of social network use and mobile phone addiction. Using a Latent Profile Analysis, four classes of users were identified: low-engagement light users, high-engagement heavy users, high-engagement low-risk users, and high-engagement high-risk users; individuals from the fourth class can be considered at risk for developing addiction to online social networks (7.6 % of the sample). Discussion: Accessing the social networks via the mobile phone and presenting addictive behavior seem to be important correlates of FoMO. 

Social Media and Creativity

2017 ◽  
pp. 181-202
Author(s):  
Antonín Pavlíček
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Linear Regression ◽  
Success Factors ◽  
Descriptive Analysis ◽  
Common Factors ◽  
Network Services ◽  
Video Sharing ◽  
Social Network Services

The usage of social media is vital part of businesses practices and lives of individuals today, tourism being not exception. Yet, despite the wide reach of social networks there is a lack of understanding which factors contribute to becoming an influencer on social network services. This chapter particularly focuses on the largest video-sharing platform YouTube. It analyzes common success factors in three different countries: Canada, Germany, Italy and concludes by explaining which factors can be considered as relevant in order to succeed on YouTube. The objective is to find common factors which enable Youtubers to succeed. Predict which quantitative and qualitative elements can actually influence the success of a Youtuber and through ANOVA, Descriptive Analysis and Linear Regression find if there's actually a link between these elements and the number of subscribers. Lastly, it will try to assess on three case studies, how different tourist destination use the power of YouTube.

scholarly journals Exploiting Temporal and Spatial Regularities for Content Dissemination in Opportunistic Social Network

2019 ◽  
Vol 2019 ◽  
pp. 1-16
Author(s):  
Zhiyuan Li ◽  
Junlei Bi ◽  
Carlos Borrego
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Success Rate ◽  
State Of The Art ◽  
Time Varying ◽  
Hop Count ◽  
Content Dissemination ◽  
System Overhead ◽  
Temporal And Spatial ◽  
Query Latency

Recently, content dissemination has become more and more important for opportunistic social networks. The challenges of opportunistic content dissemination result from random movement of nodes and uncertain positions of a destination, which seriously affect the efficiency of content dissemination. In this paper, we firstly construct time-varying interest communities based on the temporal and spatial regularities of users. Next, we design a content dissemination algorithm on the basis of time-varying interest communities. Our proposed content dissemination algorithm can run in O(nlog⁡n) time. Finally, the comparisons between the proposed content dissemination algorithm and state-of-the-art content dissemination algorithms show that our proposed content dissemination algorithm can (a) keep high query success rate, (b) reduce the average query latency, (c) reduce the hop count of a query, and (d) maintain low system overhead.

scholarly journals A autoexpressão como dimensão inovadora de motivação no compartilhamento de vídeos em redes sociais

2017 ◽  
Vol 16 (3) ◽  
pp. 1059-1078
Author(s):  
Jéssica Motta ◽  
Edson Roberto Scharf
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Word Of Mouth ◽  
Product Category ◽  
Communication Strategy ◽  
Level Of Involvement ◽  
Goods And Services ◽  
Video Sharing ◽  
Video Advertising ◽  
Entertainment Value

ResumoA troca de informações, conhecimentos e experiências sobre as marcas, bens e serviços entre os consumidores na internet é conhecida como boca a boca eletrônico ou e-Word of Mouth (eWOM). A autoexpressividade do consumidor foi associada ao aumento da interação social na rede social Facebook, por meio do compartilhamento de vídeos de campanhas publicitárias. Para tanto, fatores como autoexpressividade, autocongruência com a marca, nível de envolvimento do consumidor com a categoria de produtos e valor de entretenimento da mensagem poderão estar relacionados ao compartilhamento de vídeos empresariais. Desse modo, foi investigado se a autoexpressão é um dos motivadores para o compartilhamento de vídeos em redes sociais. Nesta pesquisa aplicou-se um questionário por meio de mensagens enviadas para consumidores que compartilharam dois vídeos em duas páginas distintas da rede social Faceboook. As hipóteses testadas nesta pesquisa, em uma análise estrutural geral, tiveram o valor de entretenimento da mensagem e o nível de autocongruência com a marca não rejeitados pelos cálculos estatísticos e tiveram o poder de explicação de 35,7% (r2 0,357) relacionados à autoexpressão. Apesar do resultado, não pode ser comprovada a autoexpressão como dimensão inovadora de motivação para o compartilhamento espontâneo de vídeos em redes sociais. Palavras-chave: Autoexpressão. Compartilhamento espontâneo de vídeos. Comunicação eWOM. Rede social. Estratégia inovadora de comunicação. Self-expression as motivation of innovative dimension in video sharing in social networks AbstractThe exchange of information, knowledge and experience about the brands, goods and services among consumers on the internet is known as mouth-to-mouth electronic or e-Word of Mouth (eWOM). Consumer self-expression was associated with increased social interaction in the social network Facebook, through the sharing of video advertising campaigns. Therefore, factors such as self-expression, self-congruence with the brand, the consumer's level of involvement with the product category and the message of the entertainment value, may be related to the sharing of corporate videos. Thus, it was investigated if the self-expression is one of the motivators for sharing videos on social networks. This research applied a questionnaire through messages sent to consumers who shared two videos in two different pages Facebook social network. The hypothesis tested in this study in a general structural analysis have the entertainment value of the message and level of self-congruence with the brand not rejected by statistical calculations, and had the power to 35.7% explanation (r2 0.357) related to self-expression. Despite the result it can not be proven self-expression as an innovative dimension of motivation for spontaneous sharing videos on social networks.Keywords: Self-expression. Spontaneous sharing videos. Communication eWOM. Social network. Innovative communication strategy.

scholarly journals Features of Digital Video Content Consumption on the YouTube Platform

2021 ◽  
Vol 15 (3) ◽  
pp. 119-130
Author(s):  
Tamara P. Gorelova ◽  
◽  
Tamara V. Serebrovskaya ◽  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Consumer Behavior ◽  
Mobile Technologies ◽  
Video Content ◽  
Scientific Methods ◽  
Content Consumption ◽  
The Social ◽  
Leading Position ◽  
General Scientific

The article examines the features of digital consumer behavior on the example of the YouTube platform, in order to maintain leading position in the market of platforms with video content. Therefore, there is a need to follow the latest trends that are interesting for consumers to adapt to changes in their preferences and maintain a commitment to the product. The purpose of the study: to analyze the preferences of the digital consumer of the video services market, to identify strategies aimed at improving the efficiency of the social network, to make recommendations for maintaining the advantages of the platform. Objectives: identify the reasons of the choice of a social network and the unique needs of the modern digital consumer, the main categories of users of mobile technologies and their characteristics, develop recommendations for the promotion of the YouTube platform. General scientific methods: analysis, abstraction, system-structural approach. Based on the analysis of studies of international and Russian organizations on the activities of the social network YouTube, a survey of potential digital consumers of this social network, contractual features of the behavior of the modern digital consumer YouTube were identified. General recommendations for optimizing the YouTube platform are formulated, which will help significantly influence the digital consumer and strengthen the competitive position of the YouTube platform and other social networks. It is determined that today the content created in accordance with the latest trends is the most attractive for the digital consume.

Unraveling the Taste Fabric of Social Networks

2009 ◽  
pp. 256-282 ◽  
Author(s):  
Hugo Liu ◽  
Pattie Maes ◽  
Glorianna Davenport
Keyword(s):  
Machine Learning ◽  
Social Networks ◽  
Social Network ◽  
Online Social Networks ◽  
Social Connectedness ◽  
Natural Language Text ◽  
Semantic Mining ◽  
The Rich ◽  
Language Text

Popular online social networks such as Friendster and MySpace do more than simply reveal the superficial structure of social connectedness — the rich meanings bottled within social network profiles themselves imply deeper patterns of culture and taste. If these latent semantic fabrics of taste could be harvested formally, the resultant resource would afford completely novel ways for representing and reasoning about web users and people in general. This paper narrates the theory and technique of such a feat — the natural language text of 100,000 social network profiles were captured, mapped into a diverse ontology of music, books, films, foods, etc., and machine learning was applied to infer a semantic fabric of taste. Taste fabrics bring us closer to improvisational manipulations of meaning, and afford us at least three semantic functions — the creation of semantically flexible user representations, crossdomain taste-based recommendation, and the computation of taste-similarity between people — whose use cases are demonstrated within the context of three applications — the InterestMap, Ambient Semantics, and IdentityMirror. Finally, we evaluate the quality of the taste fabrics, and distill from this research reusable methodologies and techniques of consequence to the semantic mining and Semantic Web communities.

Voyeurism in Social Networks and Changing the Perception of Privacy on the Example of Instagram

2020 ◽  
pp. 255-269
Author(s):  
Serpil Kır
Keyword(s):  
Social Networks ◽  
Content Analysis ◽  
Social Network ◽  
Conceptual Framework ◽  
Communication Technologies ◽  
Public Domain ◽  
Basic Element ◽  
The Body ◽  
Video Sharing ◽  
Content Analysis Method

With the development of communication technologies and changing perceptions of privacy in Turkey, it has emerged to problematize as concept voyeurism. The basic element that framed the intimate place over the body is the place. In social networks, the reset function of the place transforms the private body into a public domain for consumption. The notion of voyeurism, which means watching, is also related to place as of origin. The pleasure of peeping the place belonging to others is also related to the pleasure of penetrating the boundaries of place. Social networks threaten privacy/space as a voyeur environment in the context of establishing this system of pleasure. In the context of social networks, place, and body, a conceptual framework will be discussed, as well as privacy and voyeurism. Also, the selected social network activities will be examined by Instagram's photo and video sharing content analysis method.

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