scholarly journals The Follow Back Problem in a Hyper-Partisan Environment

2022 ◽  
Author(s):  
Qi Yang ◽  
Mohsen Mosleh ◽  
David Gertler Rand ◽  
Tauhid Zaman
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Field Experiment ◽  
Important Impact ◽  
Political Partisanship ◽  
Democrats And Republicans ◽  
Back Problem ◽  
Do So

Many social media users try to obtain as many followers as possible in a social network to gain influence, a challenge that is often referred to as the follow back problem. In this work we study different strategies for this problem in the context of politically polarized social networks and study how political partisanship affect social media users' propensity to follow each other. We test how contact strategy (liking, following) interacts with partisan alignment when trying to induce users to follow back. To do so, we conduct a field experiment on Twitter where we target N=8,104 active users using bot accounts that present as human. We found that users were more than twice as likely to reciprocally follow back bots whose partisanship matched their own. Conversely, when the only form of contact between the bot and the user was the bot liking the user’s posts, the follow rate was extremely low regardless of partisan alignment – and liking a user’s content and following them led to no increase in follow-back relative to just following the user. Finally, we found no partisanship asymmetries, such that Democrats and Republicans preferentially followed co-partisans to the same extent. Our results demonstrate the important impact of following users and having shared partisanship – and the irrelevance of liking users’ content – on solving the follow back problem.

Emotive Trending And Tracking of Tweets

2017 ◽  
Vol 7 (11) ◽  
pp. 25
Author(s):  
Sanjay Chhataru Gupta
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
The Social ◽  
The World ◽  
Complex Events

Popularity of the social media and the amount of importance given by an individual to social media has significantly increased in last few years. As more and more people become part of the social networks like Twitter, Facebook, information which flows through the social network, can potentially give us good understanding about what is happening around in our locality, state, nation or even in the world. The conceptual motive behind the project is to develop a system which analyses about a topic searched on Twitter. It is designed to assist Information Analysts in understanding and exploring complex events as they unfold in the world. The system tracks changes in emotions over events, signalling possible flashpoints or abatement. For each trending topic, the system also shows a sentiment graph showing how positive and negative sentiments are trending as the topic is getting trended.

scholarly journals I Know Where You Are Coming From: On the Impact of Social Media Sources on AI Model Performance (Student Abstract)

2020 ◽  
Vol 34 (10) ◽  
pp. 13971-13972
Author(s):  
Yang Qi ◽  
Farseev Aleksandr ◽  
Filchenkov Andrey
Keyword(s):  
Machine Learning ◽  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Model Performance ◽  
User Profiling ◽  
Personalized Recommendation ◽  
Modal Data ◽  
Social Media Networks ◽  
The Impact

Nowadays, social networks play a crucial role in human everyday life and no longer purely associated with spare time spending. In fact, instant communication with friends and colleagues has become an essential component of our daily interaction giving a raise of multiple new social network types emergence. By participating in such networks, individuals generate a multitude of data points that describe their activities from different perspectives and, for example, can be further used for applications such as personalized recommendation or user profiling. However, the impact of the different social media networks on machine learning model performance has not been studied comprehensively yet. Particularly, the literature on modeling multi-modal data from multiple social networks is relatively sparse, which had inspired us to take a deeper dive into the topic in this preliminary study. Specifically, in this work, we will study the performance of different machine learning models when being learned on multi-modal data from different social networks. Our initial experimental results reveal that social network choice impacts the performance and the proper selection of data source is crucial.

scholarly journals RE-ENGINEERING OF SMART CITY'S BUSINESS PROCESSES BASED ON SOCIAL NETWORKS AND INTERNET OF THINGS

2018 ◽  
Vol 16 (3) ◽  
pp. 275
Author(s):  
Emir Ugljanin ◽  
Dragan Stojanović ◽  
Ejub Kajan ◽  
Zakaria Maamar
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Internet Of Things ◽  
Smart City ◽  
Business Processes ◽  
Smart Cities ◽  
Successful Management ◽  
Complete Integration ◽  
Social Actions

This paper reports our experience with developing a Business-2-Social (B2S) platform that provides necessary support to all this platform’s constituents, namely business processes, social media (e.g., social network), and Internet of Things (IoT). This platform is exemplified with smart cities whose successful management requires a complete integration of IoT and social media capabilities into the business processes implementing user services. To ensure a successful integration, social actions, that a smart city would allow citizens execute, are analyzed in terms of impact of these smart city’s business processes. Reactions to these actions are tracked and then analyzed to improve user services.

scholarly journals tugas review artikel

2019 ◽  
Author(s):  
Arlika Anindya Putri
Keyword(s):  
Social Capital ◽  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Firm Performance ◽  
Positive Impact ◽  
Social Capital Theory ◽  
Capital Theory ◽  
Mediating Role ◽  
The Social

Purpose – The purpose of this study is to develop a structural equation model to explain the complexrelationship between social network and firm performance by introducing the mediating role of trust, sellingcapability and pricing capability.Design/methodology/approach – The research model with hypothesis development was derived basedon the literature. To provide empirical evidence, this study carried out a survey in which the data wereequated with a list of questionnaires with a random survey of 380 small and medium enterprises (SMEs) inthe Indonesian context.Findings – This study indicates that the use of social media in management process will not affect theincreasing firm performance, unless the firms build trust upon social networks. The social network with trustallows the firms to gain a pricing capability and a selling capability, which brings a positive impact on firmperformance. The results also show that the selling and the pricing capabilities become essential following theutilizing the social media, which concerns on trust building.Research limitations/implications – This study focused on the small-to-medium context, which hasconventionally provided an exemplary site for the development of social capital theory but raises issues ofgeneralizability across different contexts.Practical implications – To the managers, it is advisable to encourage their employees to consciouslyexploit the selling capability by enhancing the business networks via social media to achieve the firmperformance.Originality/value – This paper contributes to the social capital theory by explaining the mediating role oftrust in the complex relationship between social network and firm performance. This study provides evidencethat trust plays a pivotal role in social networks, which enable the observed firms to achieve the performance.

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.

Analyzing Social Networks to Mine Important Friends

2013 ◽  
pp. 90-104 ◽  
Author(s):  
Carson K.-S. Leung ◽  
Irish J. M. Medina ◽  
Syed K. Tanbeer
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Social Networking Sites ◽  
Web Based ◽  
The Social ◽  
Social Entity ◽  
Social Entities ◽  
Media Data ◽  
Media Mining

The emergence of Web-based communities and social networking sites has led to a vast volume of social media data, embedded in which are rich sets of meaningful knowledge about the social networks. Social media mining and social network analysis help to find a systematic method or process for examining social networks and for identifying, extracting, representing, and exploiting meaningful knowledge—such as interdependency relationships among social entities in the networks—from the social media. This chapter presents a system for analyzing the social networks to mine important groups of friends in the networks. Such a system uses a tree-based mining approach to discover important friend groups of each social entity and to discover friend groups that are important to social entities in the entire social network.

Role of Social Media in Tourism

2015 ◽  
pp. 142-162
Author(s):  
Vipin K. Nadda ◽  
Sumesh Singh Dadwal ◽  
Dirisa Mulindwa ◽  
Rubina Vieira
Keyword(s):  
Social Networks ◽  
Information Technology ◽  
Social Media ◽  
Social Network ◽  
Social Networking ◽  
Web Sites ◽  
User Generated Content ◽  
Major Shift ◽  
Tourism And Hospitality

Revolutionary development in field of communication and information technology have globally opened new avenue of marketing tourism and hospitality products. Major shift in web usage happened when Napster in 1999 released peer-to-peer share media and then with pioneer social networking websites named ‘Six Degrees'. This kind of interactive social web was named as ‘Web 2.0'. It would create openness, community and interaction. Web2. is also known as Social media base. Social media is incudes “all the different kinds of content that form social networks: posts on blogs or forums, photos, audio, videos, links, profiles on social networking web sites, status updates and more”. It allows people to create; upload post and share content easily and share globally. Social media allows the creation and exchange of user-generated content and experiences online. Thus, social media is any kind of information we share with our social network, using social networking web sites and services.

Developing Marketing Strategy on Social Networks

2018 ◽  
pp. 66-82
Author(s):  
Boris Milović
Keyword(s):  
Decision Making ◽  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Nonprofit Organizations ◽  
Public Awareness ◽  
Winning Strategy ◽  
Marketing Performance ◽  
Wide Range ◽  
And Training

Social networks have proven to be very convenient and effective medium for the spreading of marketing messages, advertising, branding and promotion of products and services. Social networks offer companies, nonprofit organizations, political parties etc. sending certain messages for free. In addition, they allow companies access to a wide range of characteristics of their users. Developing appropriate, the winning strategy for marketing in social media is a comprehensive, time-intensive process therefore it is important to know to manage their content. Social networks transform certain classical approaches to marketing. They provide creative and relatively easy way to increase public awareness of the company and its products, and facilitate obtaining feedback and decision making. These are sources of different information about users and groups that they've joined. The success itself of marketing performance on a social network depends on the readiness and training of organizations to perform on them.

A Usability Evaluation of Facebook's Privacy Features Based on the Perspectives of Experts and Users

2019 ◽  
pp. 1544-1568
Author(s):  
Márcio J. Mantau ◽  
Marcos H. Kimura ◽  
Isabela Gasparini ◽  
Carla D. M. Berkenbrock ◽  
Avanilde Kemczinski
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
User Interaction ◽  
Usability Evaluation ◽  
Second Step ◽  
Web Based ◽  
The Third ◽  
Privacy Settings ◽  
Three Stages

The issue of privacy in social networks is a hot topic today, because of the growing amount of information shared among users, who are connected to social media every moment and by different devices and displays. This chapter presents a usability evaluation of the privacy features of Facebook's social network. The authors carry out an evaluation composed by three approaches, executed in three stages: first by the analysis and inspection of system's features related to privacy, available for both systems (Web-based systems and mobile-based systems, e.g. app). The second step is a heuristic evaluation led by three experts, and finally, the third step is a questionnaire with 605 users to compare the results between specialists and real users. This chapter aims to present the problems associated with these privacy settings, and it also wants to contribute for improving the user interaction with this social network.

Social Network Citizenship

2012 ◽  
pp. 339-357 ◽  
Author(s):  
Mina Seraj ◽  
Aysegul Toker
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Conceptual Model ◽  
Online Social Networks ◽  
Marketing Strategies ◽  
Social Media Marketing ◽  
Marketing Practice

This chapter describes and discusses the specificities of membership commitment to online social networks. While delineating these specificities, we introduce the concept of social network citizenship (SNC) to define the characteristics of committed network members. A conceptual model involving commencement, creation, change, and commitment is developed in order to establish the antecedents of this new concept. In addition, the implications for marketing practice are discussed to reveal how companies can acquire social network citizens to retain their social media marketing strategies successful.

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