scholarly journals Bots in Public Arenas of Social Networks

2021 ◽  
Vol 27 (4) ◽  
pp. 99-117
Author(s):  
Valeriya Vasilkova ◽  
Natalya Legostaeva
Keyword(s):  
Social Networks ◽  
Computer Security ◽  
Online Social Networks ◽  
Publication Activity ◽  
Executive Power ◽  
Social Actors ◽  
The Public ◽  
Public Arena ◽  
Informational Influence ◽  
Organization Analysis

In the study of social bots, one of the important trends is the transition from a technology-centered understanding of bots as a threat to information and computer security to a broader, socially-focused understanding of bots as a new tool of informational influence used by various social actors in online social networks. This transition is of value to modern sociology. As one such actor, the authors consider a group of civic activists who use bot-technology to construct and solve the problem of defrauded equity holders. The novelty of the article lies in the interpretation of this group’s activities in the context of the concept of public arenas. The botnet “Deceived equity holders of LenSpecStroy” was detected thanks to the author’s complex methodology that combined the method of frequency analysis of messages, profiling of bot accounts, including static and behavioral analysis of user profiles, statistical analysis of texts, analysis of the botnet’s structural organization, analysis of the content of its publications, and analysis of bursts of network publication activity. Analyzing these bursts of publication activity and the content of botnet publications showed how bot-technologies aided in implementing effective techniques aimed at constructing and maintaining the social problem of defrauded equity holders: expanding the capacity of the public arena, realizing (creating) dramaturgical novelty and emotional richness in discussing the problem, taking into account the organizational specifics of the public arena, directing interest in the problem towards other (related and equally important) public arenas (media, legislative and executive power, political parties).

scholarly journals Exploring how Homophily and Accessibility can Facilitate Polarization in Social Networks

2018 ◽  
Author(s):  
Cameron Taylor ◽  
Alexander V. Mantzaris ◽  
Ivan Garibay
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Low Cost ◽  
Voter Model ◽  
The Public ◽  
Pairwise Interactions ◽  
Online Social Media ◽  
Complete Networks ◽  
Social Media Platforms ◽  
The Public Sphere

Polarization in online social networks has gathered a significant amount of attention in the research community and in the public sphere due to stark disagreements with millions of participants in topics surrounding politics, climate, the economy and other areas where an agreement is required. There are multiple approaches to investigating the scenarios in which polarization occurs and given that polarization is not a new phenomenon but that its virality may be supported by the low cost and latency messaging offered by online social media platforms; an investigation into the intrinsic dynamics of online opinion evolution is presented for complete networks. Extending a model which utilizes the Binary Voter Model (BVM) to examine the effect of the degree of freedom for selecting contacts based upon homophily, simulations show that different opinions are reinforced for a period of time when users have a greater range of choice for association. The facility of discussion threads and groups formed upon common views further delays the rate in which a consensus can form between all members of the network. This can temporarily incubate members from interacting with those who can present an alternative opinion where a voter model would then proceed to produce a homogeneous opinion based upon pairwise interactions.

Exploiting User Check-In Data for Geo-Friend Recommendations in Location-Based Social Networks

2020 ◽  
Vol 11 (2) ◽  
pp. 1-17
Author(s):  
Shudong Liu ◽  
Ke Zhang
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Time Slot ◽  
Empirical Studies ◽  
Real Life ◽  
Periodic Trajectories ◽  
The Public ◽  
Friend Recommendation ◽  
Location Based Social Networks ◽  
Friend Recommendations

The development of Web 2.0 technologies has meant that online social networks can both help the public facilitate sharing and communication and help them make new friends through their cyberspace social circles. Generating more accurate and geographically related results to help users find more friends in real life is gradually becoming a research hotspot. Recommending geographically related friends and alleviating check-in data sparsity problems in location-based social networks allows those to divide a day into different time slots and automatically collect user check-in data at each time slot over a certain period. Second, some important location points or regions are extracted from raw check-in trajectories, temporal periodic trajectories are constructed, and a geo-friend recommendation framework is proposed that can help users find geographically related friends. Finally, empirical studies from a real-world dataset demonstrate that this paper's method outperforms other existing methods for geo-friend recommendations in location-based social networks.

Content-Based Classification of Sensitive Tweets

2017 ◽  
Vol 11 (04) ◽  
pp. 541-562 ◽  
Author(s):  
Qiaozhi Wang ◽  
Jaisneet Bhandal ◽  
Shu Huang ◽  
Bo Luo
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Domain Knowledge ◽  
Online Social Network ◽  
Family Relationship ◽  
Semantic Content ◽  
Sensitive Information ◽  
Health Politics ◽  
The Public ◽  
Distribution Features

Online Social Networks (OSNs), such as Facebook and Twitter, provide open platforms for users to easily share their statuses, opinions, and ideas, ranging from personal experiences/activities to breaking news. With the increasing popularity of online social networks and the explosion of blog and microblog messages, we have observed large amounts of potentially sensitive or private messages being published to OSNs inadvertently or voluntarily. The owners of these messages may become vulnerable to online stalkers or adversaries, especially considering that many online social network platforms (e.g. Twitter) provide open access to the public, including unregistered users and search engine bots. Studies show that users often regret posting sensitive or private messages. However, it is very difficult to completely erase such messages from the Internet, especially when the messages have been indexed by the search engines or forwarded (e.g. re-tweet in Twitter) by other users. Therefore, it is critical to identify messages that reveal private/sensitive information, and warn users before they post the messages to the public. However, the definition of sensitive information is subjective and different from user to user. For example, some users may feel comfortable sharing political opinions, while others do not. To develop a privacy protection mechanism that is customizable to fit the needs of diverse audiences, it is essential to accurately and automatically classify potentially sensitive messages into topic categories, such as health, politics, family, relationship, religion, etc. In this paper, we make the first attempt to classify sensitive tweets into 13 pre-defined topic categories. In particular, we model the semantic content of tweets with term distribution features as well as users’ topic-preferences based on personal tweet history. We also add domain-specific features, i.e. domain knowledge, to improve classification performance. Experiments show that our method can boost classification accuracy compared with the well-known Bag-of-Words and TF-IDF methods. a

scholarly journals Social networks and resilience in the fight for the right to the city: the Movimento Ocupe Estelita, Recife, Brazil

2016 ◽  
Vol 18 (2) ◽  
pp. 255
Author(s):  
Edinéa Alcântara ◽  
Fátima Furtado ◽  
Circe Gama Monteiro ◽  
Rubenilda Rosinha Barbosa
Keyword(s):  
Social Networks ◽  
Public Interest ◽  
Online Social Networks ◽  
Right To The City ◽  
The Public ◽  
Empirical Basis ◽  
The Face ◽  
The Right ◽  
The City

Online social networks have played a key role in the struggle for rights and for more sustainable, less unequal cities. In Brazil, this movement is relatively recent, and has tended to increase in the face of threats or crises that might adversely affect the rights, welfare or life of a city’s residents, or the public interest. The Movimento Ocupe Estelita fights against the interests of capital, symbolised by the Projeto Novo Recife, a project destined for the Cais Estelita. The movement started in 2012 and shows signs of resistance and resilience. This article aims to identify the theoretical and empirical basis of this resilience. The research was based on participatory online and offline observation and interviews at the encampment, with a chronology of the occupation process and subsequent campaigns of resistance and struggle. Finally, the movement’s capacity to reinvent itself and grow stronger despite continual disputes is analysed.

scholarly journals Exploring how Homophily and Accessibility can Facilitate Polarization in Social Networks

2018 ◽  
Author(s):  
Cameron E. Taylor ◽  
Alexander V. Mantzaris ◽  
Ivan Garibay
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Low Cost ◽  
Voter Model ◽  
The Public ◽  
Pairwise Interactions ◽  
Online Social Media ◽  
Complete Networks ◽  
Social Media Platforms ◽  
The Public Sphere

Polarization in online social networks has gathered a significant amount of attention in the research community and in the public sphere due to stark disagreements with millions of participants in topics surrounding politics, climate, the economy and other areas where an agreement is required. There are multiple approaches to investigating the scenarios in which polarization occurs and given that polarization is not a new phenomenon but that its virality may be supported by the low cost and latency messaging offered by online social media platforms; an investigation into the intrinsic dynamics of online opinion evolution is presented for complete networks. Extending a model which utilizes the Binary Voter Model (BVM) to examine the effect of the degree of freedom for selecting contacts based upon homophily, simulations show that different opinions are reinforced for a period of time when users have a greater range of choice for association. The facility of discussion threads and groups formed upon common views further delays the rate in which a consensus can form between all members of the network. This can temporarily incubate members from interacting with those who can present an alternative opinion where a voter model would then proceed to produce a homogeneous opinion based upon pairwise interactions.

Internet Public Opinion Monitoring Model Based on Cloud Computing

2013 ◽  
Vol 404 ◽  
pp. 744-747
Author(s):  
Zhong Tang He ◽  
Xiao Qing Zhang ◽  
Feng Wei Zhao ◽  
Tong Kai Ji
Keyword(s):  
Social Networks ◽  
Cloud Computing ◽  
Public Opinion ◽  
Social Network ◽  
Online Social Networks ◽  
Rapid Development ◽  
The Public ◽  
Mass Data ◽  
Model Based ◽  
Monitoring Model

With the rapid development of online social networks, such as social network services, BBS, micro-blog and online community, et al., a two-way communication and new media age has been gradually coming. Each one can create their own content and publish the news quickly through online social networks on Internet. Thus, mass data has brought severe challenge to public opinion monitoring. As a kind of novel information computing model, cloud computing technology can effectively deal with the calculation and storage of mass data. In this paper, the public opinion monitoring model based on cloud computing environment is introduced, which can mine and analyze large scale collected data, realize detection and tracking of hot topics, perform social network analysis on the BBS and visualize the analysis results. The public opinion monitoring system based on cloud can provide timely sensitive information and deal with public crisis efficiently. Finally, the advantage is analyzed when cloud computing is applied to public opinion monitoring.

scholarly journals Exploring How Homophily and Accessibility Can Facilitate Polarization in Social Networks

Information ◽  
2018 ◽  
Vol 9 (12) ◽  
pp. 325 ◽  
Author(s):  
Cameron Taylor ◽  
Alexander Mantzaris ◽  
Ivan Garibay
Keyword(s):  
Social Networks ◽  
Public Sphere ◽  
Online Social Networks ◽  
Discussion Group ◽  
Research Community ◽  
The Public ◽  
Long Run ◽  
The Social ◽  
The Public Sphere ◽  
Insight Into

Polarization in online social networks has gathered a significant amount of attention in the research community and in the public sphere due to stark disagreements with millions of participants on topics surrounding politics, climate, the economy and other areas where an agreement is required. This work investigates into greater depth a type of model that can produce ideological segregation as a result of polarization depending on the strength of homophily and the ability of users to access similar minded individuals. Whether increased access can induce larger amounts of societal separation is important to investigate, and this work sheds further insight into the phenomenon. Center to the hypothesis of homophilic alignments in friendship generation is that of a discussion group or community. These are modeled and the investigation into their effect on the dynamics of polarization is presented. The social implications demonstrate that initial phases of an ideological exchange can result in increased polarization, although a consensus in the long run is expected and that the separation between groups is amplified when groups are constructed with ideological homophilic preferences.

scholarly journals Cyfrowe (nie)kompetencje. Nowe technologie w służbie „ja”

2017 ◽  
Vol 4 (50) ◽  
pp. 4-14
Author(s):  
Krzysztof Stachura
Keyword(s):  
Social Networks ◽  
New Media ◽  
Everyday Life ◽  
New Technologies ◽  
Cultural Practices ◽  
Social Situations ◽  
Social Actors ◽  
The Public ◽  
Alternative Means ◽  
Social Competences

The paper aims at examining the significance of new media for redefining meanings of social competences. As social actors witness new social situations in the technologically mediated world, they start seeking for alternative means of enhancing their social position and adapting to the altering reality of everyday life. New media users learn to manage the different ways of managing and broadcasting their ‘self’. Streaming their lives online they navigate networked audiences, trying to find balance between the public and the private. Digital networking platforms are being used not only for the purpose of sociability but also to negotiate their image and create perceptions of ‘self’. However, the majority of them do not possess the skills needed to efficiently maneuver through mediated social networks. Moreover new media are considered to create conditions for the eruption of cultural narcissism and addiction to new technologies. In the paper attention is drawn to the tensions related to the significance of this new set of social competences and potential drawbacks of the development of the analyzed type of cultural practices.

«INFODEMIA» AND SOCIAL NETWORKS: THE ACTUAL OBJECTS AND OBJECTIVES OF THE STUDY

2020 ◽  
pp. 535-544
Author(s):  
Александр Григорьевич Остапенко ◽  
Руслан Валентинович Сорокин ◽  
Сергей Викторович Лихобабин ◽  
Артём Олегович Ткаченко ◽  
Андрей Николаевич Бартенев ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Social Networks ◽  
Goal Setting ◽  
Traffic Control ◽  
The Internet ◽  
Global Epidemic ◽  
The Public ◽  
Informational Influence ◽  
Internet Users ◽  
Artificial Intelligence Systems

В данной статье затрагивается тема мировой инфодемии в контексте информационного влияния и давления на общественность, во многом образованную пользователями Интернет-пространства. В работе ведется рассуждение об актуальности исследования социальных Интернет-сайтов и процессов распространения в них потенциально опасных контентов. Описаны общие характеристики целеполагания исследований в различных областях таких как: суверенизация информационного пространства, анонимности и ответственности интернет-пользователей, контроля трафика, инфодемии, применения систем искусственного интеллекта в Интернет-пространстве. This article touches upon the topic of the global epidemic in the context of informational influence and pressure on the public, who are directly users of the Internet space. The paper discusses the interest in researching social Internet sites and the processes of distributing potentially dangerous content therein. The general characteristics of the goal-setting of research in various fields are described, such as the sovereignization of the information space, the anonymity and responsibility of Internet users, traffic control, infodemics, the use of artificial intelligence systems in the Internet space.

scholarly journals Building social networks ethics beyond “privacy”: a sociological perspective

2011 ◽  
Vol 16 ◽  
pp. 47-53
Author(s):  
Sami Coll ◽  
Olivier Glassey ◽  
Claire Balleys
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Social Dynamics ◽  
Social Classes ◽  
Self Management ◽  
Sociological Perspective ◽  
The Public ◽  
The Social ◽  
Public Debates ◽  
Classical Sociology

This article aims to widen the question of online social networks sites (SNS) ethics going beyond the questions of privacy and self-management of data, yet dominant in the public debates. The main theoretical framework developed in this paper, based both on recent contributions and classical sociology, is that SNS have to deal with the social dynamics of distinction and social classes like in any other spaces. From this perspective, focusing only on online privacy is too subjective and individualistic to provide a satisfying answer. Thus, we suggest that transparency should be considered as a social and collective fact rather than an individual characteristic. Boundaries between online and offline world are becoming increasingly porous and we argue, although acknowledging certain particular characteristics of SNS, that SNS ethics should be less about the specificities of online behaviors than on their articulation with the social world.

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