scholarly journals An Enhanced Sybil Guard to Detect Bots in Online Social Networks

2021 ◽  
Author(s):  
Nisha P. Shetty ◽  
Balachandra Muniyal ◽  
Arshia Anand ◽  
Sushant Kumar
Keyword(s):  
Machine Learning ◽  
Social Networks ◽  
Social Networking ◽  
Online Social Networks ◽  
Social Networking Sites ◽  
Easy Access ◽  
Classifier Combination ◽  
Fake News ◽  
Wide Scale ◽  
Set Up

Sybil accounts are swelling in popular social networking sites such as Twitter, Facebook etc. owing to cheap subscription and easy access to large masses. A malicious person creates multiple fake identities to outreach and outgrow his network. People blindly trust their online connections and fall into trap set up by these fake perpetrators. Sybil nodes exploit OSN’s ready-made connectivity to spread fake news, spamming, influencing polls, recommendations and advertisements, masquerading to get critical information, launching phishing attacks etc. Such accounts are surging in wide scale and so it has become very vital to effectively detect such nodes. In this research a new classifier (combination of Sybil Guard, Twitter engagement rate and Profile statistics analyser) is developed to combat such Sybil nodes. The proposed classifier overcomes the limitations of structure based, machine learning based and behaviour-based classifiers and is proven to be more accurate and robust than the base Sybil guard algorithm.

Social Networking and Trust

2011 ◽  
pp. 32-41
Author(s):  
Vladlena Benson
Keyword(s):  
Social Networks ◽  
Social Networking ◽  
Online Social Networks ◽  
Social Networking Sites ◽  
Cyber Threats ◽  
Current State ◽  
Trust Formation ◽  
Threat Mitigation ◽  
Silver Bullet ◽  
Insight Into

Based on the literature review of the theory of trust, this chapter aims to provide an insight into trust formation on social networking sites (SNS). An overview of the current state of cybercrime and known ways of threat mitigation helps shed some light on the reasons why social networks became easy targets for Internet criminals. Increasingly, personalisation is seen as a method for counteracting attacks perpetrated via phishing messages. This chapter aims to look specifically at trust in online social networks and how it influences vulnerability of users towards cybercrime. The chapter poses a question whether personalisation is the silver bullet to combat cyber threats on social networks. Further research directions are discussed.

Fake News Polarization for Sentiment Analysis

2022 ◽  
pp. 255-263
Author(s):  
Chirag Visani ◽  
Vishal Sorathiya ◽  
Sunil Lavadiya
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Sentiment Analysis ◽  
Online Social Networks ◽  
Opinion Mining ◽  
Easy Access ◽  
The Internet ◽  
Fake News ◽  
Social Media Networks ◽  
Sentiment Mining

The popularity of the internet has increased the use of e-commerce websites and news channels. Fake news has been around for many years, and with the arrival of social media and modern-day news at its peak, easy access to e-platform and exponential growth of the knowledge available on social media networks has made it intricate to differentiate between right and wrong information, which has caused large effects on the offline society already. A crucial goal in improving the trustworthiness of data in online social networks is to spot fake news so the detection of spam news becomes important. For sentiment mining, the authors specialise in leveraging Facebook, Twitter, and Whatsapp, the most prominent microblogging platforms. They illustrate how to assemble a corpus automatically for sentiment analysis and opinion mining. They create a sentiment classifier using the corpus that can classify between fake, real, and neutral opinions in a document.

Improving the organizational knowledge sharing through online social networks

Kybernetes ◽  
2019 ◽  
Vol 49 (11) ◽  
pp. 2615-2632
Author(s):  
Bo Yang ◽  
Lulu Wang ◽  
Bayan Omar Mohammed
Keyword(s):  
Social Networks ◽  
Social Networking ◽  
Knowledge Sharing ◽  
Online Social Networks ◽  
Social Networking Sites ◽  
Employee Motivation ◽  
Organizational Knowledge ◽  
Online Social Networking ◽  
Content Type ◽  
The Impact

Purpose Social technologies can offer a strong means for organizations to manage their information flows and thus make changes on the organizational knowledge sharing, which may then be linked to employees’ productivity and performance enhancements. The purpose of this paper is to predict the impact of using the online social network on employee motivation and employee motivation effects on organizational knowledge sharing. Design/methodology/approach From employees of tax affairs organization, data are collected. For evaluating the model’s elements, a questionnaire was designed. It was revised by experts with significant experiences. For statistical analysis, SMART-PLS 3.2 is used. Findings Findings have confirmed the validity of the proposed model. The results also have indicated that online social networks, social trust and social goals have a positive and important impact on employee motivation. Furthermore, obtained results have revealed that organizational knowledge sharing is significantly influenced by employee motivation and organizational commitment. Research limitations/implications The study contributes to the literature on organizational knowledge sharing and employee motivation in online social networking sites. Organizations could benefit from this knowledge by accepting that social networking sites must be considered as a critical component of the knowledge sharing, and precise targeting efforts could be directed for those users. Also, it could be exciting to study further factors affecting the development of organizational knowledge sharing in larger organizations. Originality/value The paper rises the understanding of what online social networking encompasses and how it can be utilized for the organization. The ideas and discussion are similarly applicable to libraries and may give them new visions into the delivery of social networking applications as part of their facilities to users.

A Comparative Analysis of Online Social Networking Sites and Their Business Models

E-Marketing ◽  
2012 ◽  
pp. 803-813 ◽  
Author(s):  
T. Andrew Yang ◽  
Dan J. Kim
Keyword(s):  
Social Networks ◽  
Comparative Analysis ◽  
Social Networking ◽  
Web Sites ◽  
Online Social Networks ◽  
Social Networking Sites ◽  
Business Models ◽  
Online Social Networking ◽  
New Business ◽  
Revenue Models

In the world of e-marketing, new business models are introduced to accommodate changes caused by various factors, including the markets, the services, the customers, among others. One latest trend of e-marketing is social networking Web sites, many of which have attracted not only large number of users and visitors, but also business companies to place their online ads on the sites. As an important example of Web 2.0 applications, online social networks deserve comprehensive studying and analysis; they are not only employed as an effective vehicle of e-marketing, but may impact how future Web-based applications would be developed. In this chapter, we explore online social networking as a new trend of e-marketing, by conducting a comparative analysis of online social networking sites. We first discuss the various types of online social networks, based on the classification by Laudon & Traver (2008), and then analyze online social networks from a business strategy point of view, by discussing the primary revenue models for online social networking sites. The primary contribution of this chapter is a comparative analysis and discussions of representative online social networking sites and their respective revenue model(s). This chapter aims to provide the reader with a basic understanding of the emerging online social networking Web sites and their primary revenue models.

scholarly journals A Survey of Privacy and Security Issues in Social Networks

2014 ◽  
Author(s):  
Constantin SPÂNU
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Network Security ◽  
Social Networking ◽  
Online Social Networks ◽  
Social Networking Sites ◽  
Identity Theft ◽  
Privacy And Security ◽  
Security Issues ◽  
Privacy Issues

Social networking sites such as Facebook and Twitter have gained more popularity in recent years. Because of its large user base, and large amount of information, they become a potential channel for attackers to exploit. Many social networking sites try to prevent those exploitations, but many attackers are still able to overcome those security countermeasures by using different techniques. Social network users may not be aware of such threats. Therefore, this paper will present a survey on different privacy and security issues in online social networks. The issues include privacy issues, identity theft, social networks spam, social networks malware, and physical threats. Social network privacy issues, social network security issues, social network threats, identity Theft, social network spam, social network malware, Facebook worms, Twitter Worms.

scholarly journals Content Filtering of Social Media Sites Using Machine Learning Techniques

2021 ◽  
Author(s):  
U.S. Tambe ◽  
N.R. Kakad ◽  
S.J. Suryawanshi ◽  
S.S. Bhamre
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Social Networking ◽  
Social Relations ◽  
Online Social Networks ◽  
Social Networking Sites ◽  
Machine Learning Techniques ◽  
Content Filtering ◽  
Learning Techniques ◽  
Personal Interests

To build a social network or social relations between people, we use social networking platforms like Facebook, Twitter, apps, etc. Using this media, users can share their views and opinions about a particular thing. Many people use their media for personal interests, entertainment, the market stocks, or business purposes. Nowadays, user security is the major concern for social networking sites. Online social networks give a little bit of support regarding content filtering. In this article, we proposed a system that provides security regarding malicious content that is posted on their social networking sites. To filter the content that might be unwanted messages, labeled images, or vulgar images, we proposed three level architecture. The user can use the auto-blocking facility as well.

scholarly journals Opportunities of Educating Responsibility in Online Social Networks among Teenage Girls at Children’s Day Care Centers

Pedagogika ◽  
2018 ◽  
Vol 129 (1) ◽  
pp. 250-267
Author(s):  
Rasa Skališienė ◽  
Lilia Žukauskienė
Keyword(s):  
Social Networks ◽  
Social Networking ◽  
Online Social Networks ◽  
Social Networking Sites ◽  
Day Care ◽  
Care Center ◽  
Educational Work ◽  
Day Care Centers ◽  
Teenage Girls ◽  
Film Reviews

This article reveals education opportunities at Children’s Day Care Centers on purpose to strengthen responsible participation of teenage girls in online social networks (OSN). On purpose to reveal the opportunities of educating responsibility in online social networks among teenage girls, qualitative research access has been applied. 16 specialists from different Children’s Day Centers of Lithuania have participated in the interview. Analysis data revealed that Child day care center specialists in order to ensure teenagers’ safety in social networking sites apply various educational methods: individual talks, rules for the use of social networking sites, organize group activities, discussions, film reviews, have conversations with parents. Active online participation of teenage girls, their inability to assess threats posed by social networks increase their vulnerability involving the risk of privacy, communication and information content. Girls’ safety in social networking sites becomes an incentive to help them become responsible users of social networking sites. Data analysis revealed that girls’ responsibility in social networks could be increased by systematic and consistent educational work, combining all the three components of responsibility (knowledge, abilities and values), based on the dialogue principle and quality institutional cooperation.

scholarly journals Img-Shelter : Privacy Protection of Images In Online Social Networks Using Watermarking Scheme

2019 ◽  
pp. 110-120
Author(s):  
P. Ponvasan ◽  
M. Muthusangari
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Networking ◽  
Online Social Networks ◽  
Social Networking Sites ◽  
Personal Information ◽  
Real Life ◽  
Information Privacy ◽  
Experimental Result ◽  
Computational Time

Social networking sites are very useful in sharing information, making friends and keeping in touch with old friends. It is an online service, platform, or site that focuses on facilitating the building of social networks and social elation among peoples for sharing interests, activities, backgrounds, or real-life connections. But with the increasing demand of social networking sites (SNS) privacy and security concern have also increased. Protecting personal information privacy has become a controversial issue among online social network providers and users. Most social network providers have developed several techniques to decrease threats and risks to the users’ privacy. These risks include the misuse of personal information which may lead to illegal acts such as identity theft. This study aims to measure the awareness of users on protecting their personal information privacy, as well as the suitability of the privacy systems which they use to modify privacy settings. In this paper, categorize the picture as sensitive or normal. If it is sensitive means, perform copyrights algorithms. Then provide the permission to the receiver end for download the images in secure manner. Experimental result can be shows that in real time environments using C#.NET as front end and SQL SERVER as back end and comparative study of existing algorithms based on computational time and privacy rate.

scholarly journals Politinė komunikacija socialinių tinklų svetainėse

2009 ◽  
Vol 51 ◽  
pp. 24-36
Author(s):  
Andrius Šuminas
Keyword(s):  
Social Networks ◽  
Social Networking ◽  
Political Communication ◽  
Online Social Networks ◽  
Social Networking Sites ◽  
Political Information ◽  
Additional Tool ◽  
Social Networking Websites

Internetas suteikia naujų galimybių politinės komunikacijos vyksmui, gerokai išplečia tradicines komunikacijos ribas. Kasdien populiarėjančios socialinių tinklų svetainės užima svarbią vietą daugelio žmonių gyvenime, todėl politikai ir partijos stengiasi jas išnaudoti kaip dar vieną politinės komunikacijos įrankį. Šis straipsnis skiriamas socialinių tinklų svetainių naudojimo politinėje komunikacijoje galimybių analizei. Jame detaliai aptariami socialinių tinklų svetainių veikimo principai ir kategorijos, pateikiamos jų populiarumo priežastys, glaustai pristatomos pasaulyje ir Lietuvoje daugiausia vartotojų turinčios socialinių tinklų svetainės. Straipsnyje nagrinėjamos naujos politinės informacijos sklaidos galimybės, aptariamos dėl virtualių socialinių tinklų atsiradusios politinės komunikacijos segmentacijos ir personalizacijos prielaidos. Taip pat pristatomas Lietuvos politikų komunikacijos socialinių tinklų svetainėse tyrimas, atskleidžiantis internetinių socialinių tinklų naudojimo aspektus rinkimų ir nuolatinėje politinėje komunikacijoje.Pagrindiniai žodžiai: socialinių tinklų svetainės, virtualūs socialiniai tinklai, politinė komunikacija, internetas ir politika, Facebook.Political communication on social networking websitesAndrius Šuminas SummaryThe Internet brings new possibilities to political communication and substantially expands traditional communication borders. Social networking websites, getting more and more popular every day, hold a prominent place in the lives of a large number of people. That is why politicians and parties are trying to use these websites as an additional tool of political communication. This article is dedicated to the analysis of possibilities of the use of social networking websites for political communication. It discusses detailed operation principles and categories of social networks, defines the reasons of their popularity and shortly presents social networking websites with the largest number of users in Lithuania and worldwide.The article explores in detail new possibilities for a spread of political information, speaks about the new ways of segmentation and personalization of political communication, created by virtual social networks. A research of Lithuanian politicians’ communication using social networking sites is also presented. The research shows how politicians use social networking websites for election and continuous political communication.Key words: social networking websites, online social networks, political communication, Internet and politics, Facebook.

scholarly journals Prediction of Fake Tweets Using Machine Learning Algorithms

2021 ◽  
Author(s):  
M. Sreedevi ◽  
G. Vijay Kumar ◽  
K. Kiran Kumar ◽  
B. Aruna ◽  
Arvind Yadav
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Social Networking ◽  
Social Networking Sites ◽  
Machine Learning Algorithms ◽  
Machine Learning Techniques ◽  
Fake News ◽  
Internet Media ◽  
Learning Techniques ◽  
False News

Social networking sites will attract millions of users around the globe. Internet media is becoming popular for news consumption because of its ease, simple access and fast spreading of data takes to consume news from social media. Fake news on social media is making an appearance that is attracting a huge attention. This kind of situation could bring a great conflict in real time. The false news impacts extremely negative on society, particularly in social, commercial, political world, also on individuals. Hence detection of fake news on social media became one of the emerging research topic and technically challenging task due to availability of tools on social media. In this paper various machine learning techniques are used to predict fake news on twitter data. The results shown by using these techniques are more accurate with better performance.

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