A Comparison of Two Different Types of Online Social Network from a Data Privacy Perspective

2011 ◽  
pp. 223-234 ◽  
Author(s):  
David F. Nettleton ◽  
Diego Sáez-Trumper ◽  
Vicenç Torra
Keyword(s):  
Social Network ◽  
Data Privacy ◽  
Online Social Network ◽  
Different Types

scholarly journals Social Bots As an Instrument of Influence in Social Networks: Typologization Problems

2021 ◽  
Author(s):  
V.V. Vasilkova ◽  
N.I. Legostaeva
Keyword(s):  
Social Networks ◽  
Content Analysis ◽  
Social Network ◽  
Human Behavior ◽  
Online Social Network ◽  
Research Trend ◽  
Political News ◽  
The Social ◽  
Different Types ◽  
New Research

Nowadays, in the field of social bots investigations, we can observe a new research trend — a shift from a technology-centered to sociology-centered interpretations. It leads to the creation of new perspectives for sociology: now the phenomenon of social bots is not only considered as one of the efficient manipulative technologies but has a wider meaning: new communicative technologies have an informational impact on the social networks space. The objective of this research is to assess the new approaches of the established social bots typologies (based on the fields of their usage, objectives, degree of human behavior imitation), and also consider the ambiguity and controversy of the use of such typologies using the example of botnets operating in the VKontakte social network. A method of botnet identification is based on comprehensive methodology developed by the authors which includes the frequency analysis of published messages, botnet profiling, statistical analysis of content, analysis of botnet structural organization, division of content into semantic units, forming content clusters, content analysis inside the clusters, identification of extremes — maximum number of unique texts published by botnets in a particular cluster for a certain period. The methodology was applied for the botnet space investigation of Russian online social network VKontakte in February and October 2018. The survey has fixed that among 10 of the most active performing botnets, three botnets were identified that demonstrate the ambiguity and controversy of their typologization according to the following criteria: botnet “Defrauded shareholders of LenSpetsStroy” — according to the field of their usage, botnet “Political news in Russian and Ukrainian languages” — according to their objectives, botnet “Ksenia Sobchak” — according to the level of human behavior imitation. The authors identified the prospects for sociological analysis of different types of bots in a situation of growing accessibility and routinization of bot technologies used in social networks. Keywords: social bots, botnets, classification, VKontakte social network

scholarly journals The functioning of the Ukrainian travel content on Instagram social network: audience, topics, and format

Obraz ◽  
2019 ◽  
Vol 3 (32) ◽  
pp. 58-63
Author(s):  
Tetiana Bondarenko ◽  
Yurii Oliinyk
Keyword(s):  
Social Network ◽  
Online Social Networks ◽  
Online Social Network ◽  
Comparison Method ◽  
Information Communication ◽  
Communication Interaction ◽  
Different Types ◽  
Information And Communication ◽  
Research Findings ◽  
Travel Blog

The aim of the study. The article analyzes the distinguishing traits of the Ukrainian travel content presented on the online social network Instagram, clarifies basic concepts, offers classification features that characterize the travel content (by segmented tourist topics; by the number of participants on a trip; by the mode of traveling; by the language of presentation; by the presence of different types of content). It also focuses on formats used to communicate and interact with the audience. Methods. The topic analysis is used to identify classification features that characterize various types of posts, to investigate aggregated theoretical and practical studies; a comparison method is applied to compare and contrast scientific views on the issue and travel content; a typology method helps to structure the essential features of travel content; a method of generalization is used to systematize and present research findings. Results and conclusions. The concept of the online social network travel-blog is clarified, which allows defining the category: the travel-blog is referred to as a user’s collection of tourist-related posts, distinguished by the author’s style, structure, periodicity of updating, and variety of its content. It is emphasized that the concept of travel content, represented by audio, visual, and multimedia components, has a wider semantics. The ten most popular travel blogs recorded on the online social network Instagram are analyzed. The following criteria used to classify the travel content include segmented tourist topics, the number of participants on a trip; the mode of traveling; language; and the presence of different types of content. The ways of information and communication interaction between travel bloggers and online social network users are explored. Keywords: travel-blog, travel-blogger, travel-content, travel-post, information-communication interaction, online social networks audience.

scholarly journals Towards an Architecture-based Ensemble Methods for Online Social Network Sensitive Data Privacy Protection

2021 ◽  
Vol 9 (1) ◽  
pp. 33
Author(s):  
Felix Olutokunbo Idepefo ◽  
Bernard Ijesunor Akhigbe ◽  
Ojo Stephen Aderibigbe ◽  
Babajide Samuel Afolabi
Keyword(s):  
Social Network ◽  
Data Privacy ◽  
Personal Information ◽  
Online Social Network ◽  
Ensemble Methods ◽  
Byzantine Fault Tolerance ◽  
Sensitive Data ◽  
Online Data ◽  
Computational Overhead ◽  
Network Platform

<p><strong>Abstract - </strong>In 2014, the world woke up to a giant data breach that leveraged users’ personal information that was taken from one of the world’s biggest social network platform. Based on the literature, this was possible because of the Centralised Architectural-based Approach to protecting the privacy of users’ online data. Although the literature is inundated with decentralized approaches, there is none to the best of our knowledge that uses an ensemble of methods and draws on a consensus mechanism to address the challenges caused by the Centralised Architectural-based Approach. This paper presents a decentralized approach that adopts and adapts an ensemble of methods. These methods include cryptographic, hashing, and the plenum byzantine fault tolerance algorithms that present a consensus platform, protocol, and mechanism to use the technology of blockchain in a novel manner as a significant contribution. This paper adopts the descriptive approach in its presentation as the usable implementation of the presented proposal is near completion with issues of computational overhead addressed based on preliminary results that show promise of being able to support agreement up to ≈ 75% in terms of making changes by participants in the chain. <strong></strong></p>

Facebooking Alone? Millennials’ Use of Social Network Sites and Volunteering

2019 ◽  
Vol 49 (1) ◽  
pp. 203-217 ◽  
Author(s):  
Young-joo Lee
Keyword(s):  
Cohort Study ◽  
Social Network ◽  
Civic Engagement ◽  
Online Social Network ◽  
Social Network Sites ◽  
Positive Association ◽  
Prosocial Behaviors ◽  
Network Site ◽  
Facebook Use ◽  
Mixed Messages

The younger generation’s widespread use of online social network sites has raised concerns and debates about social network sites’ influence on this generation’s civic engagement, whether these sites undermine or promote prosocial behaviors. This study empirically examines how millennials’ social network site usage relates to volunteering, using the 2013 data of the Minnesota Adolescent Community Cohort Study. The findings reveal a positive association between a moderate level of Facebook use and volunteering, although heavy users are not more likely to volunteer than nonusers. This bell-shaped relationship between Facebook use and volunteering contrasts with the direct correlation between participation in off-line associational activities and volunteering. Overall, the findings suggest that it is natural to get mixed messages about social network sites’ impacts on civic engagement, and these platforms can be useful tools for getting the word out and recruiting episodic volunteers.

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